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2024
Aruon, A. Shealy, T & Gero, JS (2024) Are we on the same wavelength: Exploring inter-brain synchrony of engineering student teams when designing and building, ASCE Construction Research Congress 2024, (pdf) https://doi.org/10.1061/9780784485286.0
Casakin, H., Sopher, H., Gero, J. S. & Anidjar, O. H. (2024). The use of occurrences of ideas for constructing and characterizing the design space, DESIGN 2024, Dubrovnik (to appear).
Colombo, S., Gero, J.S., Cantamessa, M. & Mazza, A. (2024) The chronobiology of the Alternative Uses Task for divergent and convergent thinking, Creativity & Design 2024 Conference, Society for the Neuroscience of Creativity, Toronto, April (poster to appear)
Colombo, S., Gero, J. S., Mazza, A. & Cantamessa, M. (2024). Chronobiology of pupil dilation in design students during idea generation, DESIGN 2024, Dubrovnik (to appear).
Gero, J.S. (2024). Shape computation research at the University of Sydney, in S. Kotsopoulos (ed.), Shape Computation - Fifty years 1972-2022, MIT Press (to appear).
Gero, J. S. & Milovanovic, J. (2024). Do creativity metrics from design research correlate with those from psychology? Creativity Research Journal https://doi.org/10.1080/10400419.2024.2320513
Gero, J. S. & Milovanovic, J. (2024). Micro analysis of team design: temporal formation and dissolution of subteams while designing DCC'24, Montreal (to appear).
Gero, J.S., Wong, P. & Yu, R. (2024). Reading architectural elements and spaces: An eye-tracking exploration, Journal of Architectural and Planning Research (to appear) (pdf)
Goudswaard, M., Shealy, T. & Gero, J.S (2024). An exploration of brain lateralization during engineering design ideation, DCC'24, Montreal (to appear).
Kim, D-H., Genzola, R., Wang, S., Zhu, A., Milovanovic, J., Gero, J.S. & Chrysikou, E.G. (2024). Individual differences and learner profiles in design fixation, Creativity & Design 2024 Conference, Society for the Neuroscience of Creativity, Toronto, April (poster to appear)
Kim, D-H., Wang, S., Milovanovic, J., Kannengiesser, U., Gero, J.S. & Chrysikou, E.G. (2024). Neural correlates of learning differences and experience as determinants of design fixation, Creativity & Design 2024 Conference, Society for the Neuroscience of Creativity, Toronto, April (pdf)
Kim, N., & Gero, J.S. (2024). Visual attention to biophilic elements in virtual classroom design: A VR Eye-tracking study, DCC'24, Montreal (to appear).
Kim, N., Gero, J.S. & Jung, D. (2024). Harmonizing with nature: Unpacking the neurophysiological impacts of biophilic sound in virtual classroom design, Design Research Society Conference DRS2024, Boston (to appear).
Shealy, T. & Gero, J.S. (2024). Effect of offloading cognition on neural responses and design problem statements, Creativity & Design 2024 Conference, Society for the Neuroscience of Creativity, Toronto, April (poster to appear)
Škec, M., Storga, M. & Gero, J. S. (2024). Effect of team diversity on teams' design space: A computational approach, DESIGN 2024, Dubrovnik (to appear).
Walker, E., Shealy, T. & Gero J.S. (2024). Enhancing design ideation through multi-session neuro-cognitive feedback, Creativity & Design 2024 Conference, Society for the Neuroscience of Creativity, Toronto, April (poster to appear)
Walker, E., Shealy, T. & Gero J.S. (2024). Neuro-cognitive feedback as a tool for improving cognitive endurance in engineering design, DCC'24, Montreal (to appear).
2023
Aruon, A. Shealy, T & Gero, JS (2023) A new measure for team performance: Measuring inter-brain synchrony of engineering students when designing and building, EPOC-2023, Engineering Project Organization Conference, Berlin, Germany, June 20-23 (pdf)
Chrysikou, EG, Gero, JS, Milovanovic, J & Kim, D-H (2023) Neural correlates of learning preferences and individual differences in design fixation: Preliminary evidence from functional magnetic resonance imaging (fMRI), ASEE 2023 Conference and Exhibition, Baltimore, June, Paper ID #37901
Chrysikou, EG, Kim, D-H, Milovanovic, J & Gero, JS (2023) Neural correlates of learning preferences and individual differences in design fixation: Preliminary evidence from fMRI, Cognitive Neuroscience Society Conference 2023, San Francisco, March 25-28 (Poster pdf )
Colombo, S, Gero, JS & Cantamessa, M (2023) Chronobiology in divergent thinking: How designers are affected by time of day, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 887 - 896 https://doi.org/10.1017/pds.2023.89
Gero, JS (ed) (2023) Design Computing and Cognition'22, Springer https://doi.org/10.1007/978-3-031-20418-0
Gero, JS, Kim, N and Perisic, MM (2023) Measuring the effect of biophilic classroom design in a virtual environment using EEG-derived neural network. ANFA, La Jolla, September 13-16 (to appear).
Gero, JS & Milovanovic, J (2023) Design Thinking and Design Neurocognition, in K Straker & C Wrigley (eds), Research Handbook on Design Thinking, Edward Elgar, pp. 7-24. https://doi.org/10.4337/9781802203134
Gero, JS & Milovanovic, J (2023) The situatedness of design concepts: Empirical evidence from professional design teams, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 3503 - 3512 https://doi.org/10.1017/pds.2023.351
Hu, M, Shealy, T, Gero, JS, Milovanovic, J & Ignacio Jr, P (2023) Brain and behavior in engineering design: an exploratory study on concept mapping, In: Gero, J.S. (ed), Design Computing and Cognition’22. Springer, Cham. pp . 199–214. https://doi.org/10.1007/978-3-031-20418-0_13
Hurst, A, Lin, S, Treacy, C, Nespoli, O & Gero, J,S (2023) Comparing academics and practitioners Q & A tutoring in the engineering design studio, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 997 - 1006 https://doi.org/10.1017/pds.2023.100
Kannengeisser, U & Gero, JS (2023) Modeling the design of models: An example using CRISP-DM, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 2705 - 2714 https://doi.org/10.1017/pds.2023.271
Kim, DH, Genzola, R, Navea, M, Milovanovic, J, Gero, JS & Chrysikou, EG (2023) Learning preferences and individual differences in design fixation, Society for the Neuroscience of Creativity Conference 2023, San Francisco, CA, March 24 (Poster pdf )
Kim, N & Gero JS (2023) Neurophysiological responses to biophilic design: A pilot experiment using VR and EEG. In: Gero, J.S. (ed), Design Computing and Cognition’22. Springer, Cham, pp. 235-253. https://doi.org/10.1007/978-3-031-20418-0_15
Milovanovic, J, Gero, JS, Shealy, T & Hu, M (2023) Characterization of design brain states over time when using morphological analysis and TRIZ. In: Gero, J.S. (ed), Design Computing and Cognition’22. Springer, Cham. pp.269-285. https://doi.org/10.1007/978-3-031-20418-0_17
Myung, J & Gero JS (2023) EEG responses to different studio apartment plan configurations presented in VR, ANFA, La Jolla, September 13-16 (to appear).
Perisic, M, Storga, M & Gero, JS (2023) The emergence and impact of synchrony in design teams: A computational study, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 3385 - 3394 https://doi.org/10.1017/pds.2023.339
Shealy, T, Gero, JS & Ignacio Jr, P (2023) Measuring the “thinking” in systems thinking: Correlations between cognitive and neurocognitive measures of engineering students, ASEE2023, American Society of Engineering Education Annual Conference, Baltimore, MD, June 25-28 (pdf)
Shealy, T, Gero, JS, Ignacio Jr, P & Song, I (2023) Changes in cognition and neurocognition when thinking aloud during design, Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 867 - 876 https://doi.org/10.1017/pds.2023.87
Shealy, T, Walker, E, & Gero, JS (2023) Neurocognition of new ideas during engineering design, ASME-IDETC2023, American Society of Mechanical Engineers, Boston, MA, August 20-23 (pdf) https://doi.org/10.1115/DETC2023-117127
Sopher, H, Casakin, H & Gero, JS (2023) The temporal effect of immersive VR on student-tutor interaction in architectural design crits, in eCAADe2023 - Digital Design Reconsidered, W Dokonal, U Hirschberg, G Wurzer & G Wurzer (eds), eCAADe, pp. 191-200. https://doi.org/10.52842/conf.ecaade.2023.1.191
Vieira, S, Kannengiesser, U & Gero, JS (2023) Triple process theory and EEG frequency bands: Metacognitive brain activity in open design, ASME-IDETC2023, Paper No: IDETC2023-115050, American Society of Mechanical Engineers, Boston, MA, August 20-23 (pdf)
2022
Bonnardel, N. & Gero, J.S. (2022). The Possible of Design. In: Glăveanu V.P. (ed), The Palgrave Encyclopedia of the Possible, Palgrave Macmillan, pp. 1-12. https://doi.org/10.1007/978-3-319-98390-5_22-2 (pdf)
Chrysikou, E.G., Kim, D-H., Boda, S., Navea, M., Milovanovic, J, & Gero, JS (2022). Learning preferences and individual differences in design fixation, Psychonomic Society 63rd Annual Meeting, Boston, MA, 17-20 November (Poster pdf)
Gero, J.S. (ed) (2022). Design Computing and Cognition'20, Springer (link)
Gero, J.S., Kannengiesser, U. & Crilly, N. (2022). Abstracting and formalizing the design co-evolution model, Design Science doi: https://doi.org/10.1017/dsj.2022.10
Gero, JS & Milovanovic, J (2022) What is happening when designers from different disciplines work together: Characterization of the design behaviors and design spaces of mechanical and electrical engineers working in teams, Design Thinking Research Symposium 13 – DTRS13, Haifa, Israel (to appear) (pdf)
Gero, J.S. and Milovanovic, J. (2022). Creation and characterization of design spaces, in Lockton, D., Lenzi, S., Hekkert, P., Oak, A., Sádaba, J., Lloyd, P. (eds.), DRS2022, Bilbao, 25 June - 3 July, Bilbao, Spain. https://doi.org/10.21606/drs.2022.265 (pdf)
Hu, M., Shealy, T., Milovanovic, J. & Gero, J.S. (2022). Neuro-cognitive feedback: A prospective approach to sustain idea generation during brainstorming, International Journal of Design Creativity and Innovation, 10(5):1-20. doi: 10.1080/21650349.2021.1976678 Distinguished Paper Award for the Year
Ignacio, P, Milovanovic, J, Shealy, T and Gero, JS (2022) Concept maps lead to better problem statements: An empirical study measuring the effects of priming students to think in systems, ASCE Construction Research Congress 2022, 9-12 March, Arlington, VA. (pdf )
Kannengiesser, U and Gero, JS (2022) What distinguishes a model of system engineering from other models of design? Research in Engineering Design, 33, 129–159. https://doi.org/10.1007/s00163-021-00382-9
Kelly, N and Gero, JS (2022) Reviewing the concept of design frames towards a cognitive model, Design Science, 8, E30. doi:10.1017/dsj.2022.25
Manandhar, U, Hu, M, Milovanovic, J, Shealy, T, Gero, JS (2022) Concept maps decrease neurocognitive demand on students when thinking about engineering problems, ASCE Construction Research Congress 2022, 9-12 March, Arlington, VA. (to appear) (pdf)
Milovanovic, J and Gero, JS (2022) Exploring the use of digital tools to support design studio pedagogy through studying collaboration and cognition. In Gero, JS (eds), Design Computing and Cognition’20. Springer, Cham. https://doi.org/10.1007/978-3-030-90625-2_2
Neramballi, A, Sakao, T and Gero, JS (2022) How do designers think in systems? – Empirical insights from protocol studies of experienced practitioners designing product-service systems. In Gero, JS (eds), Design Computing and Cognition’20. Springer, Cham. https://doi.org/10.1007/978-3-030-90625-2_27
Shealy, T, Gero, JS and Ignacio, P (2022) How the use of concept maps changes students’ minds and brains, ASEE Annual Conference, Minneapolis, MN, June 26 – 29, Paper ID #36834
Shealy, T, Gero, JS , Manandhar, U and Ignacio, P (2022) The neurocognition of engineering students designing: A preliminary study exploring problem framing and the use of concept mapping, ASEE Annual Conference, Minneapolis, MN, June 26 – 29 (pdf ) (Poster pdf )
Shealy, T, Gero, JS, Song, I, Ignacio, P, Walker, E and Aruon, A (2022) Students’ neurocognition changes during engineering design when thinking aloud, NSF EEC Grantees Conference, Arlington, VA, September 22 – 23. Poster (pdf)
Sopher, H, Milovanovic, J and Gero, JS (2022) Exploring the effect of Immersive VR on student-tutor communication in the architecture studio. In J van Ameijde, N Gardner, H Hyun, D Luo and U Sheth (eds), CAADRIA 2022 Post Carbon, Proceedings of the 27th International Conference on Computer-Aided Architectural Design Research in Asia, Sydney, Australia. Vol. 2, pp. 315-324. (pdf)
Sopher, H, Casakin, H and Gero, JS (2022) Effect of immersive VR on student-tutor interaction in design critiques. In B Pak, G Wurzer, and R Stouffs (eds), Co-Creating the Future eCAADe 40, Proceedings of the 40th eCAADe Conference, Ghent, Belgium. Vol. 1, pp. 123-132.
Vieira, S, Benedek. M, Gero, JS, Li, S and Cascini, G (2022) Brain activity in constrained and open design: The effect of gender on frequency bands, AIEDAM, 36(e6). doi: 10.1017/S0890060421000202
Vieira, S, Benedek, M, Gero, JS, Cascini G and Li, S (2022) Design spaces and EEG frequency band power in constrained and open design, International Journal of Design Creativity and Innovation doi: 10.1080/21650349.2022.2048697
Vieira, S, Gero, JS, Gattol, V, Delmoral, J, Li, S. Cascini, G & Fernandes, A (2022) Designing-related neural processes: Higher alpha, theta and beta bands’ key roles in distinguishing designing from problem-solving. In Gero, JS (eds), Design Computing and Cognition’20. Springer, Cham. https://doi.org/10.1007/978-3-030-90625-2_32
2021
Ashrafganjouei, M and Gero, JS (2021) Exploring the effect of visual constraint on students' design cognition, AIEDAM, 35(1): 2-19. doi: 10.1017/s0890060420000335
Kelly, N and Gero, JS (2021) Design thinking and computational thinking: A dual process model for addressing design problems, Design Science, 7, e8 doi: 10.1017/dsj.2021.7
Luo, Y, Becker, K, Gero, JS. Alarcon, I and Lowento, O (2021) Systems thinking in engineering design: Differences in expert vs. novice, International Journal of Engineering Education, 37(5): 1398–1413. (pdf)
Milovanovic, J, Gero, JS and Becker, K (2021) Decomposition and recomposition strategies of professional engineering design teams, ICED21 Proceedings of the Design Society , Volume 1 , August, pp. 871 - 880. doi: https://doi.org/10.1017/pds.2021.87
Milovanovic, J, Gero, JS and Becker, K (2021) Does it matter where design teams come from in design studies? ASME-IDETC paper DETC2021-70432 (pdf) https://doi.org/10.1115/DETC2021-70432
Milovanovic, J, Hu, M, Shealy, T and Gero JS (2021) Characterization of concept generation for engineering design through temporal brain network analysis, Design Studies, 76 doi: https://doi.org/10.1016/j.destud.2021.101044 Nominated for Design Studies Best Paper Award 2021
Milovanovic, J, Ignacio, P, Gero, JS and Shealy, T (2021) Effects of biophilic design on neurophysiology: A pilot study, ANFA Poster (pdf )
Milovanovic, J, Shealy, T, Hu, M. and Gero, JS (2021) Temporal dynamics of brain activation during three concept generation techniques, ICED21 Proceedings of the Design Society, Volume 1, August, pp. 2961 - 2970. doi: https://doi.org/10.1017/pds.2021.557
Milovanovic, J, Shealy, T, Hu, M. and Gero, JS (2021) Exploration of the dynamics of neuro-cognition during TRIZ, ASME-IDETC paper DETC2021-70412 (pdf)
Nespoli, O, Hurst, A and Gero JS (2021) Exploring tutor–student interactions in a novel virtual design studio, Design Studies doi: doi.org/10.1016/j.destud.2021.101019
Perisic, M, Storga, M and Gero, JS (2021) Computational study on design space expansion in teams, ICED21 Proceedings of the Design Society, Volume 1 , August, pp. 691 - 700. doi: https://doi.org/10.1017/pds.2021.69
Sopher, H and Gero JS (2021) Effect of immersive VR on communication patterns in architectural design critiques, in Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 123-130. (pdf)
Vieira, S, Benedek, M, Gero, JS, Cascini, G and Li, S (2021) Brain activity of industrial designers in constrained and open design: The effect of gender on frequency bands, ICED21 Proceedings of the Design Society, Volume 1, August, pp. 571 - 580. doi: 10.1017/pds.2021.57
2020
Chrysikou, E and Gero, JS (2020) Using neuroscience techniques to understand and improve design cognition, AIMS Neuroscience, 7(3): 319-326. doi: 10.3934/Neuroscience.2020018
Gero, JS (2020) Editorial: Nascent directions for design creativity research, International Journal of Design Creativity and Innovation, 8(3): 144-146. (link)
Gero, JS and Milovanovic, J (2020) A framework for studying design thinking through measuring designers' minds, bodies and brains, Design Science, 6, e19. doi:10.1017/dsj.2020.15
Lammi, M, Wells, J and Gero, JS (2020) High school pre-engineering students' engineering design cognition, International Journal of Technology and Design Education, online 22 July 2020 (link)
Milovanovic, J and Gero, JS (2020) Modeling design studio pedagogy: A mentored reflective practice, DESIGN 2020 (to appear) (pdf)
Milovanovic, J and Gero, JS (2020) Exploring the use of digital tools to support design studio pedagogy through studying collaboration and cognition, Preprints DCC'20, pp. 23-42. (pdf)
Milovanovic, J, Hu, M, Shealy, T and Gero, JS (2020) Evolution of brain network connectivity in the prefrontal cortex during concept generation using brainstorming for a design task, ASME IDETC, paper DETC2020-22563 (pdf)
Park, Y, Gero, JS, Broesamle, M and Hoelscher, C (2020) Embodied design cognition: Effects of information granularity and task on gestures while interpreting architectural plans, ANFA Conference (to appear)
Sakao, T, Gero, JS and Mizuyama H (2020) Analysing cognitive processes of a Product/Service-System design session using protocol analysis, AIEDAM 34 (4): 515 - 530. (pdf) https://doi.org/10.1017/S0890060420000402
Shealy, T, Gero, JS, Milovanovic, J and Hu, M (2020) Sustaining creativity with neuro-cognitive feedback: a preliminary study, In Boujut, J-F., Gaetano, C., Ahmed-Kristensen, S., Georgiev, G. & Iivari, N. (Eds), Proceedings of the Sixth International Conference on Design Creativity (ICDC 2020), Design Society, pp. 84.91. https://doi.org/10.35199/ICDC.2020.11
Shealy, T, Gero, JS, Hu, M and Milovanovic, J (2020) Concept generation techniques change patterns of brain activation during engineering design, Design Science 6, e31. https://doi.org/10.1017/dsj.2020.30
Shealy, T, Gero, JS, Milovanovic, J and Hu, M (2020) Sustaining creativity with neuro-cognitive feedback: a preliminary study, In Boujut, J-F., Gaetano, C., Ahmed-Kristensen, S., Georgiev, G. & Iivari, N. (Eds), Proceedings of the Sixth International Conference on Design Creativity (ICDC 2020), Design Society, pp. 84.91. https://doi.org/10.35199/ICDC.2020.11
Vieira, S, Gero, JS, Delmoral, J, Gattol, V, Fernandes, C and Fernandes, A (2020) The neurophysiological activations of mechanical engineers and industrial designers while designing and problem-solving, Design Science, 6, e26. doi:10.1017/dsj.2020.26.
Vieira, S, Gero, JS, Delmoral, J, Gattol, V, Fernandes, C, Parente, M and Fernandes, A (2020) Industrial designers problem-solving and designing: an EEG study, in R Almendra, & J Ferreira (eds), Research & Education in Design: People & Processes & Products & Philosophy (ReDes2019), CRC Press, pp. 211-222. https://doi.org/10.1201/9781003046103 (pdf)
Vieira, S, Gero, JS, Gattol, V, Demoral, J, Li, S, Cascini, G and Fernandes, A (2020) The neurophysiological activations of novice and experienced professionals when designing and problem-solving, Proceedings of the Design Society: DESIGN Conference. Cambridge University Press, 1, pp. 1569–1578. doi: https://doi.org/10.1017/dsd.2020.121 (pdf)
Vieira, S, Gero, JS, Demoral, J, Li, S, Cascini, G and Fernandes, A (2020) Space layout design and sketching: A study of architects neurophysiological activations, ANFA (to appear)
Vieira, S, Gero, JS, Li, S, Gattol, V, Fernandes, C (2020) Brain activity in constrained and open design spaces: An EEG study. In J-F. Boujet, et. al. (eds), The Sixth International Conference on Design Creativity-ICDC2020, Design Society, pp. 68-75.(pdf) https://doi.org/10.35199/ICDC.2020.09
Yu, R and Gero, JS (2020) The effect of digital design representation on designers' visual attention, S Boess, M Cheung and R Cain (eds), Proceedings DRS2020, Design Research Society, pp. 2234-2244 (pdf)
2019
Gero, JS (ed) (2019) Design Computing and Cognition'18, Springer, 740 pp.
Gero, JS (2019) Measuring students not just their output: The new fields of engineering cognitiometrics, physiometrics and neurometrics, Clive L Dym Mudd Design Workshop XI, Claremont College, CA (pdf)
Gero, JS (2019) From design cognition to design neurocognition, CogSci 2019, Montreal, Canada
Gero, JS, Becker, KH, Luo, Y, Almeida, L, Abdellahi, S and Kan, JWT (2019) Empirical foundations for improved engineering education: Differences between engineering students and professional expert engineers while designing, 2019 ASEE Annual Conference & Exposition, Tampa, Florida. Paper ID #25295, 16 pp. (pdf)
Gero, JS and Milovanovic, J (2019) The situated Function-Behavior-Structure co-design model, Co-Design, doi: 10.1080/15710882.2019.1654524 (link)
Gero, JS, Yu, R and Wells, J (2019) Creative design cognition differences between high school students with and without design education, E Dekoninck, A Wodehouse, C Snider, G Georgiev and G Cascini (eds), Fifth International Conference on Design Creativity (ICDC2018, University of Bath and Design Society, pp. 5.5: 1-8. (pdf)
Gero, JS, Yu, R and Wells, J (2019) The effect of design education on the creative design cognition of high school students, International Journal of Design Creativity and Innovation, 7(4): 196-212. doi: 10.1080/21650349.2019.1628664
Hurst, A, Nespoli, O, Abdellahi, S and Gero, JS (2019) A comparison of the design activity of academics and practitioners using the FBS ontology: A case study, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. doi:10.1017/dsi.2019.138
Kannengiesser, U and Gero, JS (2019) Ekphrasis as a basis for a framework for creative design processes, in JS Gero (ed), Design Computing and Cognition'18, Springer, pp. 265-283. (pdf)
Kannengiesser, U and Gero, JS (2019) Design thinking, fast and slow, Design Science, 5(e10), doi: 10.1017/dsj.2019.9
Kannengiesser, U and Gero, JS (2019) Empirical evidence for Kahneman's system 1 and system 2 thinking in design, in Y Eriksson and K Paetzold (eds), Human Behavior in Design, UniBw M, Germany, pp. 89-100. (pdf)
Milovanovic, J and Gero, JS (2019) Exploration of gender diversity effects on design team dynamics, in Y Eriksson and K Paetzold (eds), Human Behavior in Design, UniBw M, Germany, pp. 101-112. (pdf)
Neramballi, A, Sakao, T and Gero, JS (2019) What do experienced practitioners discuss when designing Product/Service Systems? in JS Gero (ed), Design Computing and Cognition'18, Springer, pp. 361-380.
Neramballi, A, Tomohiko Sakao, T and Gero, JS (2019) Effects of a design support on practitioners designing a Product/Service System - a case study,in Y Eriksson and K Paetzold (eds), Human Behavior in Design, UniBw M, Germany, pp.11-22. (pdf)
Peng, W, Adikari, A, Alahakoon, D and Gero, JS (2019) Discovering the influence of sarcasm in social media responses, WIREs Data Mining and Knowledge Discovery, 2019;e1331, doi.org/10.1002/widm.1331
Perisic, M, Storga, M and Gero, JS (2019) Exploring the effect of experience on team behavior: A computational approach, in JS Gero (ed), Design Computing and Cognition'18, Springer, pp. 595-612. (pdf)
Perisic, M, Storga, M and Gero, JS (2019) Situated novelty in computational creativity studies, in K Grace, M Cook, D Ventura and ML Maher (eds), Proceedings of the 10th International Conference on Computational Creativity, pp. 286-290. (pdf)
Perisic, M, Martinec, S, Storga, M and Gero, JS (2019) A computational study of the effect of experience on problem/solution space exploration in teams, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. doi:10.1017/dsi.2019.4
Shealy, T and Gero, JS (2019) The neurocognition of three engineering concept generation techniques, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. doi:10.1017/dsi.2019.189
Vieira, S, Gero, JS, Delmoral, J, Fernandes, C, Gattol, V and Fernandes, A (2019) Insights from an EEG study of mechanical engineers problem solving and designing, Human Behavior in Designing Conference, in Y Eriksson and K Paetzold (eds), Human Behavior in Design, UniBw M, Germany, pp. 23-34. (pdf)
Vieira, S, Gero, JS, Delmoral, J, Gattol, V, Fernandes, C and Fernandes, A (2019) Comparing the design neurocognition of mechanical engineers and architects: A study of the effect of designer's domain, in Proceedings of the 22nd International Conference on Engineering Design (ICED19), Delft, The Netherlands, 5-8 August 2019. doi:10.1017/dsi.2019.191
Vieira, S, Gero, JS, Delmoral, J, Gattol, V, Fernandes, C and Fernandes, A (2019) Understanding the design neurocognition of mechanical engineers when designing and problem-solving, ASME IDETC, paper IDETC2019-97838. doi.org/10.1115/DETC2019-97838
2018
Becker, K, Gero, JS, Pourmohamadi, M, Abdellahi, S, Almeida, L and Luo, Y (2018) Quantifying differences between professional expert engineers and engineering students designing: Empirical foundations for improved engineering education, Paper presented at 2018 ASEE Annual Conference & Exposition ASEE2018, Salt Lake City, Utah: ASEE2018 Paper ID #21338. (pdf)
Hu, M, Shealy, T and Gero, JS (2018) Neuro-cognitive differences among engineering students when using unstructured, partially structured and structured concept generation techniques, Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah: ASEE2018. (pdf)
Kim, J, Maher, ML, Gero, JS and Sauda, E (2018) Metaphor: A tool for designing the next generation of human-building interaction, eCAADe 36, pp. 149-158. (pdf)
Lee, L, Yu, R, Kan, JWT and Gero, JS (2018) Exploring the differences between designing and describing designing, DTRS12 Workshop, Korea (pdf)
Milovanovic, J and Gero, JS (2018) Exploration of cognitive design behavior during design critiques, DESIGN 2018, D Marjanovic, PJ Clarkson, U Lindemann, T McAloone and C Weber (eds), Human Behavior in Design Vol. 5, pp. 2099-2110. doi.org/10.21278/idc.2018.0547
Shealy, T, Hu, M and Gero, JS (2018) Patterns of cortical activation when using concept generation techniques of brainstorming, morphological analysis and TRIZ, ASME IDETC, paper DETC2018-86272. doi: 10.1115/DETC2018-86272 (pdf).
Vieira, S, Gero, JS, Delmoral, J, Fernandes, C, Gattol, V and Fernandes, A (2018) Workshop Paper: Studying the neurophysiology of designing through an EEG study of layout design: Preliminary results, DCC'18 Workshop on Neurophysiological Measures and Biometric Analyses in Design Research, Lecco, Italy, July 2018. (pdf)
Yu, R and Gero, JS (2018) Using eye-tracking to study designers' cognitive behaviour when designing with CAAD, in P. Rajagopalan (ed), Engaging Architectural Science: Meeting the Challenges of Higher Density: 52nd International Conference of the Architectural Science Association, pp. 443-451. (pdf)
2017
Becker, K, Pourmohamadi, M, Abdellahi, S, Almeida, L, Luo, Y and Gero, JS (2017) Decomposition/Recomposition Design Behavior of Student and Professional Engineers: A Pilot Study, ASEE2017 (pdf)
Gero, JS (ed) (2017) Design Computing and Cognition'16, Springer, 704 pp. (link)
Gero, JS (2017) Research for cultural DNA in design, in J-H Lee (ed), Second Cultural DNA Workshop 2017, KAIST, Deajeon, Korea, pp. 12-24. (pdf)
Gero, JS (2017) Generalizing ekphrastic expression: A foundation for a computational method to aid creative design, in P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows and Glitches, Proceedings of the 22nd International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2017, pp. 345-354. (pdf)
Gero, JS (2017) Ekphrasis as a design method, in A Maier, S Å kec, H Kim, M Kokkolaras, J Oehmen, G Fadel, F Salustri, M Van der Loos (eds), DS 87-7 Proceedings of the 21st International Conference on Engineering Design (ICED 17): Design Theory and Research Methodology, Design Society, pp. 171-180. (pdf)
Gero, JS (2017) Cognitive design computing, in A. Fioravanti, S. Cursi, S. Elahmar, S. Gargaro, G. Loffreda, G. Novembri and A. Trento (eds), eCAADe 2017- Shock!, eCAADe, pp. 37-40. (pdf)
Gero, JS (2017) Whither design theory and methods? in MA Schnabel (ed.), Back to the Future: The Next 50 Years (51st International Conference of the Architectural Science Association (ANZAScA),Wellington, New Zealand, pp.563-572. (pdf)
Gero, JS and Song, T (2017) The decomposition/recomposition design behavior of student and professional engineers, ASEE 2017, Paper ID #17685, pp. 1-15. (pdf)
Jiang, H and Gero, JS (2017) Comparing two communication models of team design activities, in JS Gero (ed), Design Computing and Cognition'16, Springer, pp. 301-319. (pdf)
Kan, JWT and Gero, JS (2017) Quantitative Methods for Studying Design Protocols, Springer, 180pp. (link)
Kan, JWT and Gero, JS (2017) Characterizing innovative processes in design spaces through measuring the information entropy of empirical data from protocol studies, AIEDAM 32(1): 32-43. doi: 10.1017/S0890060416000548
Kannengiesser, U and Gero, JS (2017) Can Pahl and Beitz' Systematic Approach be a predictive model of designing? Design Science 3(e24) doi: 10.1017/dsj.2017.24.
Kelly, N and Gero, JS (2017) Generate and situated transformation as a paradigm for models of computational creativity, International Journal of Design Creativity and Innovation 5(3-4): 149-167. doi:10.1080/21650349.2016.1203821
Maher, ML, Lee, L, Gero, JS, Yu, R and Clausner, T (2017) Characterizing tangible interaction during a creative combination task, in Gero, JS (ed), Design Computing and Cognition'16, Springer, pp. 593-610. (pdf)
Perisic, M, Storga, M and Gero, JS (2017) Building a computational laboratory for the study of team behaviour in product development,in A Maier, S Skec, H Kim, M Kokkolaras, J Oehmen, G Fadel, F Salustri, M Van der Loos (eds), DS 87-8 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 8: Human Behaviour in Design, Design Society, pp. 189-198. (pdf)
Sarkar, S and Gero, JS (2017)The topology of social influence and the dynamics of design product adoption, in JS Gero (ed), Design Computing and Cognition'16, Springer, pp. 653-665. (pdf)
Shields, J, Gero, JS and Yu, R (2017) Evaluating the veridicality of two-dimensional representations of three-dimensional architectural space through physiological response, in MC da Costa, F Roseta, JP Lages, SC da Costa (eds), Architectural Research Addressing Societal Challenges, Taylor & Francis, pp. 1001-1008. (pdf)
Thomas, R and Gero JS (2017) Learning by migrating: A computational study of diversity and team-level decision-making, in A Maier, S Å kec, H Kim, M Kokkolaras, J Oehmen, G Fadel, F Salustri, M Van der Loos (eds), DS 87-8 Proceedings of the 21st International Conference on Engineering Design (ICED 17) Vol 8: Human Behaviour in Design, Design Society, pp. 589-598. (pdf)
Thomas, R and Gero, JS (2017) Engineering the process of institutional innovation in contested territory, in C Diaz and C Nieto (eds), Social Systems Engineering: The Design of Complexity, Wiley, pp. 175-195. (pdf)
Yu, R and Gero, JS (2017) Exploring designers' cognitive load when viewing digital representations of spaces: A pilot study, Research into Design for Communities, Volume 1 (Proceedings of ICoRD 2017), Springer, pp. 457-467. (pdf )
2016
Fu, Y, Jiang, H, Zhang, D, Zhang, X and Gero, JS (2016) Exploring the differences between users' and designers' perceptions of app interface design: A case study of illumination dimming and control application, ASME IDETC2016 IDETC2016-59521. (pdf)
Gero, JS and Jiang, H (2016) Exploring the design cognition of concept design reviews using the FBS-based protocol analysis, in RS Adams and JA Siddiqui (eds), Analyzing Design Review Conversations, Purdue University Press. doi: 10.5703/1288284315931
Gero, JS and Kan, JWT (2016) Scientific models from empirical design research, in P Cash, T Stankovic and M Storga (eds), Experimental Design Research, Springer, pp. 253-270. (pdf)
Gero, JS and Kan, JWT (2016) Empirical results from measuring design creativity: Use of an augmented coding scheme in protocol analysis, Fourth International Conference on Design Creativity, Atlanta, GA, USA. pp. 1-8. (pdf)
Gero, JS, Shields, J and Yu, R (2016) How veridical are different modalities of digital representation? in S. Chien, S. Choo, M. A. Schnabel, W. Nakapan, M. J. Kim, S. Roudavski (eds.), Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference of the Association for Computer-Aided Architectural Design Research in Asia, CAADRIA 2016, pp. 861-870. (pdf).
Maher, ML, Gero, JS, Clausner, T, Lee, L and Yu, R (2016) Measuring the effect of tangible interaction on design cognition, Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, Springer, pp. 348-360. (pdf)
Song, T, Becker, K, Gero, J, Deberard, S, Lawanto, O and Reeve, E (2016) Problem decomposition and recomposition in engineering design: A comparison of design behavior between professional engineers, engineering seniors, and engineering freshmen, Journal of Technology Education 27(2): 37-56. doi: 10.21061/jte.v27i2.a.3
Sosa, R and Gero, JS (2016) Multi-dimensional creativity: A computational perspective, International Journal of Design Creativity and Innovation,4(1): 26-50. doi:10.1080/21650349.2015.1026941 [received Distinguished Paper Award for 2016]
Sosa, R, Rojas, N, Gero, JS and Xu, Q (2016) ShapeStorm: A model of visual divergence for humans and computer, Design Studies 42: 56-85. doi: http://dx.doi.org/10.1016/j.destud.2015.10.002
Wells, J, Lammi, M, Grubbs, M, Gero, J, Paretti, M and Williams, C (2016) Characterizing design cognition of high school students: Initial analyses comparing those with and without pre-engineering experiences, Journal of Technology Education 27(2) doi.org/10.21061/jte.v27i2.a.5
Yu, R and Gero, JS (2016) An empirical basis for the use of design patterns by architects in parametric design, International Journal of Architectural Computing 14(3): 289-302. doi: 10.1177/1478077116663351
2013-2015
Gero, JS and Hanna, S (eds) (2015) Design Computing and Cognition'14, Springer, 682pp. (link)
Gero, JS (ed) (2014) Design Computing and Cognition'12, Springer, 644 pp. (link)
Gero, JS (ed) (2014) Studying Visual and Spatial Reasoning for Design Creativity, Springer, 267 pp. (link)
Gero, JS and Kannengiesser, U (2014) The Function-Behaviour-Structure ontology of design, in Amaresh Chakrabarti and Lucienne Blessing (eds), An Anthology of Theories and Models of Design, Springer, pp. 263-283.(pdf)
Kan, JWT and Gero, JS (2013) Studying software design cognition, in M Petre and A van der Hoek (eds), Software Designers in Action: A Human-Centric Look at Design Work, CRC Press, pp. 61-77. (pdf)
Thomas, R and Gero, JS (2015) Social interactions in post-design phases in product development and consumption: Computational social science modeling, in T Taura (ed), Principia Designae - Pre-Design, Design, and Post-Design, Springer, pp. 147-173. (pdf)
Gero, JS, Jiang, H and Williams, C (2013) Design cognition differences when using unstructured, partially structured and structured concept generation creativity techniques, International Journal of Design Creativity and Innovation 1(4) 196-214. doi.org/10.1080/21650349.2013.801760
Grace, K, Gero, JS and Saunders, R (2015) Interpretation-driven mapping: a framework for parallel search and re-representation for computational analogy in design, AIEDAM 29(02):185-201.
Kannengiesser, U and Gero, JS (2015) Is designing independent of domain? Comparing models of engineering, software and service design, Research in Engineering Design 26(3): 253-275. doi: 10.1007/s00163-015-0195-y
Kelly, N and Gero, JS (2014) Interpretation in design: Modelling how the situation changes during design activity, Research in Engineering Design 25(2): 109-124. doi: 10.1007/s00163-013-0168-y
Kelly, N and Gero, JS (2015) Situated interpretation in computational creativity, Knowledge-Based Systems, 80: 48-57. doi.org/10.1016/j.knosys.2014.12.005
Singh, V, Dong, A and Gero, JS (2013) Social learning in design teams: The importance of direct and indirect communication, AIEDAM 27(2): 167-182. (pdf)
Singh, V, Dong, A and Gero, JS (2013) Developing a computational model to understanding the contributions of social learning modes to task coordination in teams, AIEDAM 27(1): 3-17. (pdf)
Yu, R, Gero, JS and Gu, N (2015) Architects' cognitive behaviour in parametric design, International Journal of Architectural Computing 13(1): 83-102. doi: 10.1260/1478-0771.13.1.83
Yu, R, Gu, N, Ostwald, M and Gero, JS (2015) Empirical support for problem-solution co-evolution in a parametric design environment, AIEDAM 25(1): 33-44. (link)
Gero, JS, Jiang, H, Dobolyi, K, Bellows, B and Smythwood, M (2015) How do interruptions during designing affect design cognition? in JS Gero and S Hanna (eds), Design Computing and Cognition'14, Springer, pp. 123-140. (pdf)
Gero, JS, Jiang, H and Vieira, S (2013) Exploring a multi-meeting engineering design project, A Chakrabarti and RV Prakash (eds), ICoRD’13, Springer India, pp. 73-84. (pdf)
Gero, JS, Kan, JWT and Jiang, H (2015) Distinguishing and measuring “Communication While Designing” and “Design Communication” in a design team, in M Meboldt, S Matthiesen, P Badke-Schaub, and Q Lohmeyer (Eds), Analyzing Cognitive Processes during Design, Ascona, Switzerland, pp. HBiD2014/123/1-8. (pdf)
Gero, JS, Kannengiesser, U and Pourmohamadi, M (2014) Commonalities across designing: Empirical results, in JS Gero (ed), Design Computing and Cognition'12, Springer, pp. 285-302. (pdf)
Gero, JS, Kannengiesser, U and Williams, C (2014) Does designing have a common cognitive behavior independent of domain and task: A meta-analysis of design protocols, in M Meboldt, S Matthiesen, P Badke-Schaub, and Q Lohmeyer (Eds), Analyzing Cognitive Processes during Design, Ascona, Switzerland, pp. HBiD2014/123/1-7. (pdf)
Grace, K, Gero, JS and Saunders, R (2013) Experiential influences on computational association in design,, in R Stouffs, P Janssen, S Roudavski and B Tuncer (eds), Open Systems: C AADRIA2013, National University of Singapore, pp. 863-872. (pdf)
Grace, K, Gero, JS and Saunders, R (2013) Learning how to reinterpret creative problems, in ML Maher, T Veale, R Saunders and O Bown (eds), Proceedings of the Fourth International Conference on Computational Creativity, The University of Sydney, pp. 113-117. (pdf)
Jiang, H, Gero, JS and Yen, CC (2014) Exploring designing styles using Problem-Solution indexes, in JS Gero (ed), Design Computing and Cognition'12, Springer, pp. 85-101. (pdf)
Kannengiesser, U, Gero, JS, Wells, J and Lammi, M (2015) Do high school students benefit from pre-engineering design education? in C Weber, S Husung, G Cascini, M Cantamessa, D Marjanovic and M Bordegoni (eds), DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education, Design Society, pp. 267-276. (pdf)
Kannengiesser, U, Williams C and Gero, JS (2013) What do the concept generation techniques of TRIZ, morphological analysis and brainstorming have in common? Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.7: Human Behaviour in Design, Design Society, pp. 297-306. (pdf)
Kelly, N and Gero, JS (2015) Creative systems that generate and explore, International Conference on Design Creativity - ICDC2015 (pdf)
Lammi, M, Wells, J, Williams, C, Gero JS and Paretti, M (2014) Initial findings of high school pre-engineering and non-engineering students' design cognition, in Frontiers in Education Conference - FIE2014. (pdf)
Singh, V, Dong, A and Gero, JS (2013) Developing a computational model to study the social formation of design practices, A Chakrabarti and RV Prakash (eds), ICoRD’13, Springer India, pp. 629-639. (pdf)
Singh, V and Gero, JS (2013) Preliminary simulations of scale and value of legitimation in design practice, Proceedings of the 19th International Conference on Engineering Design (ICED13), Design for Harmonies, Vol.2: Design Theory and Research Methodology, Design Society, pp. 156-162. (pdf)
Singh, V and Gero, JS (2015) How different models of value change affect emergent patterns in design practice: Agent based simulation ,in A Chakrabarti (ed), ICoRD'15 - Research into Design Across Boundaries Volume 1, Springer, India pp. 15-25. (pdf)
Sosa, R and Gero, JS (2013) The creative value of bad ideas, in R Stouffs, P Janssen, S Roudavski and B Tuncer (eds), Open Systems: CAADRIA2013, National University of Singapore, pp. 853-862. (pdf)
Sosa, R and Gero, JS (2013) Multilevel computational creativity, in ML Maher, T Veale, R Saunders and O Bown (eds), Proceedings of the Fourth International Conference on Computational Creativity, The University of Sydney, pp. 198-204. (pdf)
Thomas, R and Gero, JS (2014) Conceptual blind spots in complex engineering systems projects: A computational model, in Marjanovic D, Storga M, Pavkovic N, Bojcetic N, DS 77: Proceedings of the 13th International Design Conference, pp. 1361-1370. (pdf)
Thomas, R and Gero, JS (2014) Computational modeling of designer-user interactions and their value systems, in N. Gu, S. Watanabe, H. Erhan, M. Hank Haeusler, W. Huang, R. Sosa (eds), Rethinking Comprehensive Design: Speculative Counterculture, Proc. 19th International Conference on Computer-Aided Architectural Design Research in Asia, pp 75-84. (pdf)
Thomas, R and Gero, JS (2015) Moving targets: How consumers change value systems through interaction with designed products and other consumers, in C Weber, S Husung, G Cascini, M Cantamessa, D Marjanovic and M Bordegoni (eds), DS 80-11 Proceedings of the 20th International Conference on Engineering Design (ICED 15) Vol 11:Human Behaviour in Design, Design Education, Design Society, pp. 41-50. (pdf)
Williams, CB, Lee, Y, Gero, JS and Paretti, M (2013) Exploring the effect of the design prompt on students' design cognition, ASME IDETC2013 DETC2013–13557 (pdf)
Yu, R and Gero, JS (2015) An empirical foundation for design patterns in parametric design, CAADRIA2015 in Y. Ikeda, C. M. Herr, D. Holzer, S. Kaijima, M. J. Kim. M, A, Schnabel (eds.), Emerging Experience in Past, Present and Future of Digital Architecture, Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia - CAADRIA 2015,pp. 551-560. (pdf)
Yu, R and Gero, JS (2015) Design patterns from empirical studies in computer-aided design, in Celani, G, Sperling, D and Franco, J (eds), The Next City - New Technologies and the Future of the Built Environment - CAADFutures, Springer, pp. 493-506. (pdf)
Yu, R, Gero, JS and Gu, N (2013) Impact of using rule algorithms on designers' behavior in a parametric design environment: Preliminary results from a pilot study, in Zhang, J and Sun C (eds), Global Design and Local Materialization - CAADFutures, Springer, pp. 13-22. (pdf)
Yu, R, Gero, JS and Gu, N (2014) Cognitive effects of using parametric modeling by practicing architects: A preliminary study, in N. Gu, S. Watanabe, H. Erhan, M. Hank Haeusler, W. Huang, R. Sosa (eds), Rethinking Comprehensive Design: Speculative Counterculture, Proc. 19th International Conference on Computer-Aided Architectural Design Research in Asia, pp. 677-686. (pdf)
Kan, JWT and Gero, JS (2013) Studying software design cognition, in M Petre and A van der Hoek (eds), Software Designers in Action: A Human-Centric Look at Design Work, CRC Press, pp. 61-77. (pdf)
2012
Gero, JS and Kannengiesser, U (2012) Representational affordances in design, with examples from analogy making and optimization, Research in Engineering Design 23: 235-249. doi: 10.1007/s00163-012-0128-y
Kannengiesser, U and Gero, JS (2012) A process framework of affordances in design, Design Issues 28(1): 50-62. doi: 10.1162/DESI_a_00123 (pdf)
Singh, V, Dong, A and Gero, JS (2012) Computational studies to understand the role of social learning in team familiarity and their effects on team performance, CoDesign 8(1) doi:10.1080/15710882.2011.63308
Gero, JS, Jiang, H and Williams, CB (2012) Does using different concept generation techniques change the design cognition of design students? ASME IDETC DETC2012-71165 (pdf)
Gero, JS, Jiang, H and Williams, CB (2012) Design cognition differences when using structured and unstructured concept generation creativity techniques, in A Duffy, Y Nagai and T Taura (eds), Design Creativity 2012, The Design Society, pp. 3-12. (pdf)
Gero, JS, Pourmohamadi, M and Williams, CB (2012) The effect of employing different design methods on design cognition of small design teams, in P Rodgers (ed), Articulating Design Thinking, Libri Publishing, pp. 73-87. (pdf)
Grace, K, Saunders, R and Gero, JS (2012) Constructing computational associations between ornamental designs, in T Fischer, K De Biswas, J Ham, R Naka and W Huang (eds) Beyond Codes and Pixels CAADRIA2012, CAADRIA, Hong Kong, pp. 37-46.(pdf)
Grace, K, Saunders, R and Gero, JS (2012) Representational affordances and creativity in association-based systems, in ML Maher, K Hammond, A Pease, R Pérez y Pérez, D Ventura and G Wiggins (eds), Proceedings of the Third International Conference on Computational Creativity, pp. 195-202 (pdf)
Kelly, N and Gero, JS (2012) Computational modelling of the design conversation as a sequence of situated acts, in T Fischer, K De Biswas, J Ham, R Naka and W Huang (eds) Beyond Codes and Pixels CAADRIA2012, CAADRIA, Hong Kong, pp.121-130. (pdf)
Lee, Y, Gero, JS and Williams, CB (2012) Exploring the effect of design education on the design cognition of two engineering majors, ASME IDETC DETC2012-71218 (pdf)
Sosa, R and Gero, JS (2012) "A critical mass of ideas": A model of incubation in brainstorming, ICDC2012 (to appear) (pdf)
Sosa, R and Gero, JS (2012) Brainstorming in solitude and teams: A computational study of the role of group influence, in ML Maher, K Hammond, A Pease, R Pérez y Pérez, D Ventura and G Wiggins (eds), Proceedings of the Third International Conference on Computational Creativity, pp.188-194. (pdf)
Tang, H-H, Chen, Y-L and Gero, JS (2012) The influence of design methods on the design process: Effect of use of scenario, brainstorming, and synectics on designing, in P Israsena, J Tangsantikul and D Durling (eds), Proceedings Design Research Society 2012, Chulalongkorn University, Bangkok, pp. 1824-1838. (pdf)
Thomas, RC and Gero, JS (2012) Patterns of social influence in networks of social cognitive agents, in T Malone and L von Ahn (eds), Collective Intelligence 2012 arxiv.org/pdf/1204.3341 (pdf)
Williams, CB, Lee, Y, Gero, JS, and Paretti, M (2012) Examining the effect of education on design cognition: Measurements from protocol studies, Frontiers in Education FIE 2012 (pdf)
Williams, CB, Lee, Y, Gero, JS and Paretti, M (2012) Exploring the effect of design education on the design cognition of sophomore engineering students, ASEE 2012 Paper AC 2012-5094 (pdf)
2011
Gero, JS (ed) (2011) Design Computing and Cognition'10, Springer, 744 pp. (Springer link)
Gero, JS (2011) A situated cognition view of innovation with implications for innovation policy, in K Husbands-Fealing, J Lane, J Marburger, S Shipp and B Valdez (eds), The Science of Science Policy: A Handbook, Stanford University Press, pp. 104-119. (pdf)
Gero, JS and Kannengiesser, U (2011) Design, in Runco MA, and Pritzker SR (eds) Encyclopedia of Creativity, Second Edition, Academic Press, Vol. 1, pp. 369-375. (pdf)
Gero, JS (2011) Fixation and commitment while designing and its measurement, Journal of Creative Behavior 45(2): 108-115. doi: 10.1002/j.2162-6057.2011.tb01090.x (pdf)
Tang, H-H, Lee, YY and Gero, JS (2011) Comparing collaborative co-located and distributed design processes in digital and traditional sketching environments: A protocol study using the function–behaviour–structure coding scheme, Design Studies 32(1): 1-29. (pdf)
Gero, JS, Kan, JWT and Pourmohamadi, M (2011) Analysing design protocols: Development of methods and tools, in A Chakrabarti (ed), Research into Design, Research Publishing, pp. 3-10. (pdf)
Grace, K, Saunders, R and Gero, JS (2011) Applying interpretation visual association to design domains, in CM Herr, N Gu, S Roudavski MA Schnabel (eds), Circuit Bending, Breaking and Mending, CAADRIA, Hong Kong, pp. 453-462. (pdf)
Grace, K, Saunders, R and Gero, JS (2011) Interpretation-driven visual association, in D Ventura, P Gervás, DF Harrell, ML Maher, A Pease and G Wiggins (eds), Proceedings of the Second International Conference on Computational Creativity, Mexico City, pp. 132-134. (pdf)
Jiang, H, Gero, JS and Yen, CC (2011) Exploring the effect of design tasks on conceptual design activities: A design protocol study based on the FBS ontology, in NFM Roozenburg, LL Chen and PJ Stappers (eds), Diversity and Unity: Proceedings of IASDR2011, pp. 278:1-9. (pdf)
Kan, JWT and Gero, JS (2011) Learning to collaborate during team designing: Quantitative measurements, in A Chakrabarti (ed), Research into Design, Research Publishing, pp. 687-694. (pdf)
Kan, JWT and Gero, JS (2011) Comparing designing across different domains: An exploratory case study, in S Culley, B Hicks, T McAloone, T Howard and Y Reich (eds), Design Theory and Methodology, Design Society, Glasgow, pp. 2:194-203. (pdf)
Kelly, N and Gero, JS (2011) Interpretation as driver for psychological creativity, Proc 8th Conference on Creativity and Cognition, Atlanta. (pdf)
Kelly, N, Gero, JS and Saunders, R (2011) Constructive interpretation with examples from floor plans, in CM Herr, N Gu, S Roudavski MA Schnabel (eds), Circuit Bending, Breaking and Mending, CAADRIA, Hong Kong, pp. 633-642. (pdf)
Lammi, M and Gero, JS (2011) Comparing design cognition of undergraduate engineering students and high school pre-engineering students, 41st ASEE/IEEE Frontiers in Education, ASEE/IEEE, pp. F4F:1-6. (pdf)
Pourmohamadi, M and Gero JS (2011) LINKOgrapher: An analysis tool to study design protocols based on FBS coding scheme, in S Culley, B Hicks, T McAloone, T Howard and Y Reich (eds), Design Theory and Methodology, Design Society, Glasgow, pp. 2-294-303. (pdf)
Pourmohamadi, M, Saunders, R and Gero JS (2011) CAD software as customisation tools: Using FBS coding scheme to understand the behaviour of mass customisers, in CM Herr, N Gu, S Roudavski MA Schnabel (eds), Circuit Bending, Breaking and Mending, CAADRIA, Hong Kong, pp. 399-408. (pdf)
Singh, V, Dong, A and Gero, JS (2011) How important is team structure to team performance? in S Culley, B Hicks, T McAloone, T Howard and P Badke-Schaub (eds), Human Behaviour in Design, Design Society, Glasgow, pp. 7-117-126. (pdf)
Williams, CB, Lee, Y, Paretti, M and Gero, JS (2011) Effects of design education on design cognition: A preliminary comparison of engineering students,41st ASEE/IEEE Frontiers in Education, ASEE/IEEE, pp. F1F:1-7.(pdf)
Williams, CB, Gero, JS, Lee, Y and Paretti, M (2011) Exploring the effect of design education on the design cognition of mechanical engineering students, ASME IDETC2011 DETC2011-48357 (pdf)
2010
Jupp, J and Gero, JS (2010) Let's look at style: Visuo-spatial representation and reasoning in design, in Argamon, S, Bums, K and Dubnov, S (eds), The Structure of Style: Algorithmic Approaches to Understanding Manner and Meaning, Springer, pp. 159-195 (pdf)
Sarkar, S, Dong, A and Gero, JS (2010) Learning symbolic formulations in design: Syntax, semantics, and knowledge reification, AIEDAM 24(1): 63-85. (pdf)
Tsai, JJ-H and Gero, JS (2010) A qualitative energy-based unified representation for buildings, Automation in Construction 19(1): 20-42. (pdf)
Gero, JS (2010) Fixation while designing and its measurement, in P Badke-Schaub, C Cardoso and M Goncalves (eds), Fixation or Inspiration? Delft University of Technology, pp. 1-9. (pdf)
Gero, JS (2010) Future directions for design creativity research, in T Taura and Y Nagai (eds), Design Creativity 2010, Springer, pp.15-22. (pdf)
Gero, JS (2010) Generalizing design cognition research, in K Dorst et al (eds), DTRS8: Interpreting Design Thinking, DAB documents, Sydney, pp. 187-198. (pdf)
Gero JS (2010) Innovation policy and design thinking, in K Dorst et al (eds), DTRS8: Interpreting Design Thinking, DAB documents, Sydney, pp. 175-186. (pdf)
Gomez, A and Gero, JS (2010) Elementary social interactions and their effects on creativity: A computational simulation, in D Ventura, A Pease, R Perez y Perez, G Ritchie and T Veale (eds), Proceedings of the International Conference on Computational Creativity ICCCX, University of Coimbra, pp. 110-119. (pdf)
Grace, K, Saunders, R and Gero, JS (2010) Constructing conceptual spaces for novel associations, in D Ventura, A Pease, R Perez y Perez, G Ritchie and T Veale (eds), Proceedings of the International Conference on Computational Creativity ICCCX, University of Coimbra, pp. 120-129. (pdf)
Kan, JWT and Gero, JS (2010) Studying designers’ behaviour in collaborative virtual workspaces using quantitative methods, CAADRIA2010, Chinese University of Hong Kong, pp. 273-282. (pdf)
Kan, JWT, Gero, JS and Sarkar, S (2010) Using a generic method to study software design cognition, in A van der Hoek, M Petre and A Baker (eds), Workshop on Studying Professional Software Design, pp. kgs1-7. (pdf)
Kan, JWT, Gero, JS and Tang, H-H (2010) Measuring cognitive design activity changes during an industry team brainstorrming session, in JS Gero (ed), Design Computing and Cognition'10, Springer, 621-640. (pdf)
Kannengiesser, U and Gero, JS (2010) A framework for constructive design rationale, in JS Gero (ed), Design Computing and Cognition'10, Springer, pp. 135-153. (pdf)
Williams, C, Gero, JS, Lee, Y and Paretti, M (2010) Exploring spatial reasoning ability and design cognition in undergraduate engineering students, IDETC/CIE 2010, DETC2010/DEC-28925. (pdf)
2009
Williams, C, Gero, JS, Paretti, M and Lee, Y (2010) Studying design cognition to improve design education, ASEE/IEEE Frontiers in Education Conference, S3G1-3. (pdf)
Peng, W and Gero, JS (2009) A Design Interaction Tool That Adapts, VDM Verlag, 164pp. (link)
Tsai, J J-H and Gero JS (2009) Unified Energy-Based Qualitative Representation for Building Analysis, VDM Verlag, 188pp. (link)
Kan, JWT and Gero JS (2009) Using the FBS ontology to capture semantic design information in design protocol studies, in J McDonnell and P Lloyd (eds), About: Designing. Analysing Design Meetings, Taylor & Francis, pp. 213-229. (pdf)
Kannengiesser, U and Gero, JS (2009) An ontology of computer-aided design, in CM De Smet and JA Peeters (eds), Computer-Aided Design and other Computing Research Developments, Nova Science Publishers, pp. 1-25. (pdf)
Peng, W and Gero, JS (2009) Concept formation in scientific knowledge discovery from a constructivist view, in MM Gaber (ed), Scientific Data Mining and Knowledge Discovery: Principles and Foundations, Springer, pp. 91-110. (pdf)
Reffat, R and Gero, JS (2009) Life cycle modelling and design knowledge development in virtual environments, in P Newton, K Hampson and R Drogemuller (eds), Technology, Design and Process Innovation in the Built Environment, Spon, pp. 393-406. (pdf)
Gero, JS and Peng, W (2009) Understanding the behaviours of a situated agent: A Markov chain analysis, Knowledge-Based Systems 22(8): 610-621 (pdf)
Gero, JS and Smith GJ (2009) Context, situations and design agents, Knowledge-Based Systems 22: 600-609 (pdf)
Sarkar, S, Dong, A and Gero, JS (2009) Design optimization problem (re)formulation using singular value decomposition, Journal of Mechanical Design 131(8) DOI:10.1115/1.3179148. (pdf)
Gero, JS (2009) Situated computation, in H Fujita and V Marik (eds), New Trends in Software Methodologies, Tools and Techniques, IOS Press, pp. 495-502.
Gero, JS and Gomez, A (2009) Exploring knowledge transfer in a society of designers, in Noell Bergendahl, M, Grimheden, M, Leifer, L, Skogstad, P and Badke-Schaub, P (eds), Design Information and Knowledge, Design Society, pp. 8:99-110 (pdf)
Gero, JS and Kan, JWT (2009) The effect of computer mediation on collaborative designing: Using a universal coding scheme to study cognitive differences, in TW Chang et al (eds), CAADRIA 2009, National Yunlin University of Science and Technology, Taiwan, pp. 411-419. (pdf)
Gero, JS and Kannengiesser, U (2009) Understanding innovation as a change of value systems, in R Tan, G Gao and N Leon (eds), Growth and Dvelopment of Computer-Aided Innovation, Springer, pp. 249-257. (pdf)
Kan, JWT and Gero, JS (2009) Learning to collaborate during team designing: Some preliminary results from measurement-based tools, in A Chakrabarti (ed), Research into Design, Research Publications, India, pp. 560-567. (pdf)
Kan, JWT and Gero, JS (2009) A generic tool to study human design activity, in R Noell Bergendahl, M, Grimheden, M, Leifer, L, Skogstad, P and Badke-Schaub, P (eds), Human Behavior in Design, Design Society, pp. 9:123-134.(pdf)
Kan, JWT and Gero, JS (2009) Using entropy to measure design creativity: Text based analysis tools for design protocols, Rigor and Relevance in Design, International Association of Design Research Societies, CD un-numbered (pdf)
Kelly, N and Gero, JS (2009) Constructive interpretation in design thinking, in G Cagdas and B Colakoglu (eds), Computation: The New Realm of Architectural Design, eCAADe and ITU/YTU, Turkey, pp. 97-104. (pdf)
Sarkar, S, Dong, A and Gero, JS (2009) A problem decomposition method for conceptual designing, in A Chakrabarti (ed), Research into Design, Research Publications, India, pp. 59-66. (pdf)
Singh, V , Dong, A and Gero, JS (2009) Exploring the role of social learning on team mental model and design team expertise, in A Chakrabarti (ed), Research into Design, Research Publications, India, pp. 543-551. (pdf)
Singh, V, Dong, A and Gero, JS (2009) Effects of social learning and prior acquaintance on team performance, Proc 2009 Spring Simulation Multiconference, Society for Computer Simulation International, San Diego (link) (pdf)
Sosa, R, Gero, JS and Jenning, K (2009) Growing and destroying the worth of ideas, C&C'09 Proceedings of Conference on Creativity and Cognition, ACM, pp. 295-304. (pdf)
2008
Gero, JS and Goel, A (eds) (2008) Design Computing and Cognition'08, Springer, 735pp. (Springer link)
Gero, JS and Kannengiesser, U (2008) An ontological account of Donald Schon's reflection in designing, International Journal of Design Sciences and Technologies 15(2): 77-90. (pdf)
Gero, JS and Sosa, R (2008) Complexity measures as a basis for mass customisation of novel designs, Environment and Planning B 35(1): 3-15. (pdf)
Kan, J and Gero, JS (2008) Acquiring information from linkography in protocol studies of designers, Design Studies 29(4): 315-337. (pdf)
Sosa, R and Gero, JS (2008) Social structures that promote change in a complex world: The complementary roles of strangers and acquaintances in innovation, Futures 40(6): 577-585. (pdf)
Bilda, Z and Gero, JS (2008), Idea development can occur using imagery only during early conceptual designing, in JS Gero and AK Goel (eds), Design Computing and Cognition'08, Springer: 303-320. (pdf)
Gero, JS (2008) A research agenda for virtuality, IDDME – Virtual Concept
Gero, JS, Grace, K and Saunders, R (2008) Computational analogy making in designing: A process architecture, in W Nakapan, E Mahaek, K Teeraparbwong and P Nilkaew (eds), CAADRIA 2008, Pimniyom Press, Chiang Mai, Thailand: 153-160. (pdf)
Gero, JS and Kelly, N (2007) How can CAAD tools be more useful at the early stages of designing? in W Nakapan, E Mahaek, K Teeraparbwong and P Nilkaew (eds), CAADRIA 2008, Pimniyom Press, Chiang Mai, Thailand: 309-316. (pdf)
Grace, K, Saunders, R and Gero, JS (2008) A computational model for constructing novel associations, IJWCC (to appear) (pdf)
Kan, JWT and Gero, JS (2008) Do computer mediated tools affect team design creativity? in W Nakapan, E Mahaek, K Teeraparbwong and P Nilkaew (eds), CAADRIA 2008, Pimniyom Press, Chiang Mai, Thailand: 263-270. (pdf)
Kan, JWT and Gero, JS (2008) The effects of computer tools upon design collaboration: case study of developing methods to study design collaboration, ICCCBE (to appear) (pdf)
Sarkar, S, Dong, A and Gero, JS (2008) Learning symbolic formulations in design optimization, in JS Gero and AK Goel (eds), Design Computing and Conition'08, Springer: 533-552. (pdf)
Sarkar, S, Dong, A and Gero, JS (2008) A learning and inference mechanism for design optimization (re-)formulation using single value decomposition, Proc ASME 2008 International Design Engineering and Technical Conferences & Computers and Information in Engineering Conference, Paper DETC2008-49147(pdf)
Sosa, R and Gero, JS (2008) Creative social systems, in D Ventura, ML Maher and S Colton (eds), Creative Intelligent Systems, AAAI Spring Symposium, AAAI Press: 90-94. (pdf)
Tsai, JJ-H and Gero, JS (2008) The scalablity and flexibility of qualitative Archi bond graphs for building simulations, Innovation in Architecture, Engineering and Construction, CD ROM (pdf)
2007
Dong, A,Vande Moere, A and Gero, JS (eds) (2007) CAADFutures2007, Springer, 603pp. (Springer link)
Gero, JS (2007) Situated design computing: Principles, in BHV Topping, (ed), Civil Engineering Computations: Tools and Techniques, Saxe-Coburg Publications, Stirlingshire, UK, pp. 25-35. (pdf)
Bilda, Z and Gero, JS (2007) The impact of working memory limitations on the conceptual design process, Design Studies 28(4): 343-367. (pdf)
Dong, A and Gero, JS (2007) Design computing and cogniiton, AI EDAM 21(4): 315-316.
Gero, JS (2007) AI EDAM at 20: Artificial intelligence in designing, AIEDAM 21(1): 17-18. (pdf)
Gero, JS and Kannengiesser, U (2007) A Function-Behaviour-Structure ontology of processes, AIEDAM 21(3): 295-308. (pdf)
Gero, JS and Kannengiesser, U (2007) An ontology of situated design teams, AIEDAM 21(4): 379-391. (pdf)
Kan, JWT, Bilda, Z and Gero, JS (2007) Comparing entropy measures of idea links in design protocols: Linkography entropy measurement and analysis of differently conditioned design sessions, AIEDAM 21(4): 367-377. (pdf)
Kannengiesser, U and Gero, JS (2007) Agent-based interoperability without product model standards, Computer-Aided Civil and Infrastructure Engineering 22(2): 96-114. (pdf)
Gero, JS and Kannengiesser, U (2007) An ontological model of emergent design in software engineering, ICED07, Ecole Centrale de Paris, pp. 70:1-12. (pdf)
Gero, JS and Kannengiesser, U (2007) Locating creativity in a framework of designing for innovation, in N Leon-Rovira (ed), Trends in Computer Aided Innovation, Springer, pp. 57-66. (pdf)
Gero, JS and Smith, GJ (2007) A cognitive and computational basis for designing, ICED07, Ecole Centrale de Paris, pp. 68:1-11. (pdf)
Gero, JS and Smith GJ (2007) Context and design agents, in B Kokinov, DC Richardson, TR Roth-Berghofer and L Vieu (eds), Modeling and Using Context, Springer, LNAI 4635, pp. 220-233. (pdf)
Kan, JWT and Gero, JS (2007) Can an objective measurement of design protocols reflect the quality of a design outcome? ICED07, Ecole Centrale de Paris, pp. 102:1-12. (pdf)
Kan, JWT and Gero, JS (2007) Using the FBS ontology to capture semantic design information, in J McDonnell and P Lloyd (eds), DTRS7, University of the Arts, London, pp. 155-165. (pdf)
Peng, W and Gero, JS (2007) Computer-aided design tools that adapt, in Dong, A,Vande Moere, A and Gero, JS (eds), CAADFutures2007, Springer, pp. 417-430. (pdf)
Peng, W and Gero, JS (2007) Learning first-person knowledge through interactions: Towards effective design tools, ICED07, Ecole Centrale de Paris, pp. 47:1-12. (pdf)
Sarkar, S, Gero, JS and Saunders, R (2007) Re-thinking optimization as a computational design tool: A situated agent-based approach, in Y Gang, Z, Qi and D Wei (eds), Proceedings of CAADRIA07, Southeast University, Nanjing, China, pp. 185-190. (pdf)
Singh, V and Gero, JS (2007) Computational modeling of temporary design teams, in Y Gang, Z, Qi and D Wei (eds), Proceedings of CAADRIA07, Southeast University, Nanjing, China, pp. 49-56. (pdf)
Sosa, R and Gero, JS (2007) Computational explorations of compatibility and innovation, in N Leon-Rovira (ed), Trends in Computer Aided Innovation, Springer, pp. 13-22. (pdf)
2006
Gero, JS (ed) (2006) Design Computing and Cognition'06, Springer, 713 pp. (Springer link)
Ding, L, Drogemuller, R, Rosenman, M, Marchant, D and Gero, JS (2006) Automating code checking for building designs, in K Brown, K Hampson and P Brandon (eds), Clients Driving Construction Innovation: Moving Ideas into Practice , CRC for Construction Innovation, Brisbane, Australia, pp. 113-126. (pdf)
Peng, W and Gero, JS (2006) Towards a "loosely-wired" design optimization tool, in K Brown, K Hampson and P Brandon (eds), Clients Driving Construction Innovation: Moving Ideas into Practice , CRC for Construction Innovation, Brisbane, Australia, pp. 143-148. (pdf)
Bilda, Z, Gero, JS and Purcell, T (2006) To sketch or not to sketch? That is the question, Design Studies 27(5): 587-613. (pdf)
Jupp, J and Gero, JS (2006) Towards computational analysis of style in architectural design, Journal of the American Society for Information Science 57(11): 1537-1550. (pdf)
Jupp, J and Gero, JS (2006) Visual style: Qualitative and context dependent categorisation, AIEDAM 20(3): 247-266. (pdf)
Kannengiesser, U and Gero, JS (2006) Towards mass customized interoperability, Computer-Aided Design 38(8): 920-936. (pdf)
Bilda, Z and Gero, JS (2006) Reasoning with internal and external representations: A case study with expert architects, in R Sun (ed), CogSci2006, Lawrence Erlbaum, pp. 1020-1026. (pdf)
Braun, SJ and Gero, JS (2006) A self-training system that learns through experimentation, in D Marjanovic (ed), Design 2006, University of Zagreb, Croatia, pp. 193-198. (pdf)
Gero, JS (2006) Understanding situated design computing: Newton, Mach, Einstein and quantum mechanics, in IFC Smith (ed), Intelligent Computing in Engineering and Architecture, Springer, Berlin, pp. 285-297. (pdf)
Gero, JS (2006) IT in design: Recent research, in B Kumar and PR Swarup (eds) IT Solutions for the Design and Management of Infrastructure Construction Projects, Construction Industry Development Council, New Delhi, India, pp. 1-9.
Gero, JS and Kannengiesser, U (2006) A Function-Behaviour-Structure ontology of processes, in JS Gero (ed), Design Computing and Cognition'06, Springer, pp. 407-422. (pdf)
Gero, JS and Kannengiesser, U (2006) A framework for situated design optimization, in J van Leeuwen and H Timmermans (eds), Innovations in Design Decision Support Systems in Architecture and Urban Planning , Springer, pp. 309-324. (pdf)
Kan, J, Bilda, Z and Gero, JS (2006) Comparing entropy measure of idea links in design protocols, in JS Gero (ed), Design Computing and Cognition'06, Springer, pp. 265-284. (pdf)
Peng, W and Gero, JS (2006) Concept formation in a design optimization tool, in J van Leeuwen and H Timmermans (eds), Innovations in Design Decision Support Systems in Architecture and Urban Planning , Springer, pp. 293-308. (pdf)
Peng, W and Gero, JS (2006) Using a constructive interactive activation and competition neural network to construct a situated agent's experience, in Y Qiang and G Webb (eds), PRCAI 2006: Trends in Artificial Intelligence, Springer, pp. 21-30. (pdf)
Tsai, J and Gero, JS (2006) Qualitative Archi bond graphs for building simulation of people behaviour and energy variation, SimBuild 2006 (to appear). (pdf)
Tsai, J and Gero, JS (2006) Qualitative approach to an energy-based unified representation for building design, in V Soebarto and P Marshallsay (eds), IBPSA2006, University of Adelaide, pp. 73-86. (pdf)
2005
Gero, JS and Bonnardel, N (eds) (2005) Studying Designers'05, Key Centre of Design Computing and Cognition, University of Sydney, 385pp.
Gero, JS and Lindemann, U (eds) (2005) Human Behaviour in Design '05, Key Centre of Design Computing and Cognition, University of Sydney, 109pp.
Gero, JS and Maher, ML (eds) (2005) Computational and Cognitive Models of Creative Design VI, Key Centre of Design Computing and Cognition, University of Sydney, 378pp.
Gero, JS and Peng, W (2005) Assisting interactions in a dynamic design process: A new role for an adaptive design tool, in K Hampson, K Brown and P Scuderi (eds), Clients Driving Construction Innovation: Mapping the Terrain, CRC-CI, Brisbane, pp. 201-210.
Smith, G and Gero, JS (2005) What does an agent mean by being "situated"? Design Studies 26: 535-561. (pdf).
Sosa, R and Gero, JS (2005) A computational study of creativity in design, AIEDAM 19(4): 229-244. (pdf).
Bilda, Z and Gero, JS (2005) Do we need CAD during conceptual design? in B Martens and A Brown (eds), Computer Aided Architectural Design Futures 2005, Springer, pp. 155-164. (pdf)
Bilda, Z and Gero, JS (2005) Does sketching off-load visuo-spatial working memory? in Gero, JS and Bonnardel, N (eds), Studying Designers'05, Key Centre of Design Computing and Cognition, University of Sydney, pp 145-159. (pdf)
Gero, JS (2005) Virtual environments using situated computing can change what we design, in X Fischer and D Coutellier (eds), Research in Interactive Design , Springer, Paris, CD ISBN: 2-287-28772-8, Paper no: VC2005P3. (pdf)
Gero, JS (2005) What can situated cognition bring to design computing, in K Zreik, R Beheshti and O Fakoush (eds), EuropIA.10: Augmented Heritage, Europia Productions, Paris, pp. 107-115.
Gero, JS and Kelly, N (2005) How to make CAD tools more useful to designers, ANZAScA (to appear). (pdf)
Gero, JS and Sarkar, S (2005) How to make design optimization more useful to designers, ANZAScA (to appear). (pdf)
Gero, JS and Tsai, J (2005) Archi bond graphs in a unified representation for building design, in S Sariyildiz and B Tuncer (eds), Innovation in Architecture, Engineering and Construction, Delft University of Technology, Delft, pp. 577-587. (pdf)
Jupp, J and Gero, JS (2005) Computational and cognitive studies in similarity assessment, in Gero, JS and Bonnardel, N (eds), Studying Designers'05, Key Centre of Design Computing and Cognition, University of Sydney, pp 323-338. (pdf)
Jupp, J, Sosa, R and Gero, JS (2005) Generating novel designs based on qualitative modelling of existing designs, in A Bhatt (ed), CAADRIA'05 Vol 2, TVB, New Delhi, pp. 300-311. (pdf)
Kan, J and Gero, JS (2005) Can entropy represent design richness in team designing? in A Bhatt (ed), CAADRIA'05 Vol 1, TVB, New Delhi, pp. 451-457. (pdf)
Kan, J and Gero, JS (2005) Design behaviour measurement by quantifying linkography in protocol studies of designing, in JS Gero and U Lindemann (eds), Human Behaviour in Designing'05, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 47-58. (pdf)
Kan, J and Gero, JS (2005) Entropy measurement of linkography in protocol studies of designing, in Gero, JS and Bonnardel, N (eds), Studying Designers'05, Key Centre of Design Computing and Cognition, University of Sydney, pp. 229-245. (pdf)
Kannengiesser, U and Gero, JS (2005) Understanding situated design agents, in A Bhatt (ed), CAADRIA'05 Vol 2, TVB, New Delhi, pp. 277-287. (pdf)
Reffat, R and Gero, JS (2005) A virtual mining environment for providing dynamic decision support on building maintenance, in J Duarte, G Ducla-Soares and AZ Sampaio (eds) eCAADe23 Digital Design: The Quest for New Paradigms , eCAADe and Insituto Superior Tecnico Lisbon, pp. 589-596. (pdf)
Sosa, R and Gero, JS (2005) Innovation in design: Computational simulations, in A Samuel and W Lewis (eds), ICED'05: Engineering Design and The Global Economy, Institution of Engineers Australia, Barton, Australia, CD Paper 529.61. (pdf)
Sosa, R and Gero, JS (2005) Social models of creativity: Integrating the DIFI and FBS frameworks to study creative design, in Gero, JS and Maher, ML (eds), Computational and Cognitive Models of Creative Design VI, Key Centre of Design Computing and Cognition, University of Sydney, pp. 19-44. (pdf)
2004
Gero, JS (ed) (2004) Design Computing and Cognition'04, Kluwer, Dordrecht, 635pp. (Springer link)
Gero, JS, Tversky, B and Knight, T (eds) (2004) Visual and Spatial Reasoning in Design III, Key Centre of Design Computing and Cognition, University of Sydney, 283pp.
Gero, JS and Kannengiesser, U (2004) Towards agent-based product modelling, in J Borg and P Farrugia (eds), Knowledge Intensive Design Technology, Kluwer, pp. 3-17. (pdf)
Gero, JS and Brazier, FMT (2004) Guest Editorial: Intelligent agents in design, AIEDAM 18 (2 ): 113.
Gero, JS and Kannengiesser, U (2004) The situated Function-Behaviour-Structure framework, Design Studies 25(4): 373-391. (pdf)
Gero, JS and Kannengiesser, U (2004) Modelling expertise of temporary design teams, Journal of Design Research 4(2): http://jdr.tudelft.nl/. (pdf)
Gero, JS and Kazakov, V (2004) On measuring the visual complexity of 3D objects, Journal of Design Sciences and Technology 12(1): 35-44. (pdf)
Liew, P and Gero JS (2004) Constructive memory for situated agents, AIEDAM 18 (2): 163-198. (pdf)
Nath, G and Gero, JS (2004) Learning while designing, AIEDAM 18 (4): 315-341. (pdf)
Saunders, R and Gero, JS (2004) Situated design simulations using curious agents, AIEDAM 18 (2): 153-161. (pdf)
Smith, G, Maher, ML and Gero, JS (2004) Towards designing in adaptive worlds, Computer-Aided Design and Applications 1 (1-4): 701-708.
Sosa, R and Gero, JS (2004) Diffusion of creative design: Gatekeeping effects, International Journal of Architectural Computing 2(4): 518-531 (pdf).
Bilda, Z and Gero, JS (2004) Analysis of a blindfolded architect’s design session, in JS Gero, B Tversky and T Knight (eds), Visual and Spatial Reasoning in Design III, Key Centre of Design Computing and Cognition, University of Sydney, pp. 121-136. (pdf)
Candy, L, Bilda, Z, Maher, ML and Gero, JS (2004) Evaluating software support for video data capture and snalysis in collaborative design studies, Proceedings of QualIT04 (Qualitative Research in IT and IT in Qualitative Research) Conference, Brisbane, Australia, CD-rom, no page numbers.
Ding, L, Drogemuller, R, Jupp, J, Rosenman MA and Gero, JS (2004) Automated code checking, CRC Research Conference (no pages). (pdf)
Gero, JS (2004) Situated design computing: Introduction and implications, in D Marjanovic (ed), DESIGN 2004, The Design Society, Glasgow, pp. 27-36.
Gero, JS (2004) The PhD Program in Design Science at the University of Sydney, International Symposium: Development and Prospects of PhD Programme in Design Science Education , Chaoyang University of Technology, Taiwan, pp. 17-22.
Gero, JS and Peng, W (2004) A situated agent-based design assistant, in HS Lee and JW Choi (eds), CAADRIA 2004, Yonsei University Press, pp. 145-157. (pdf)
Gero, JS and Tsai, J-H (2004) Application of bond graph models to the representation of buildings and their use, in HS Lee and JW Choi (eds), CAADRIA 2004, Yonsei University Press, pp. 373-385. (pdf)
Kannengiesser U. and Gero J.S. (2004) Using agents in the exchange of product data, in M. Bramer and V. Devedzic (eds) Artificial Intelligence Applications and Innovations , Kluwer, Dordrecht, pp. 129-140. (pdf)
Jupp, J and Gero, JS (2004) Computational differentiation and classification of architectural design drawings, in HS Lee and JW Choi (eds), CAADRIA 2004, Yonsei University Press, pp. 303-317.
Jupp, J and Gero, JS (2004) Qualitative representation and reasoning about shapes and spatial relationships, in JS Gero, B Tversky and T Knight (eds), Visual and Spatial Reasoning in Design III, Key Centre of Design Computing and Cognition, University of Sydney, pp. 139-162. (pdf)
Reffat, R, Gero, JS and Peng, W (2004) Improving the management of building life cycle: A data mining approach, CRC Research Conference (no pages).
Reffat, R, Gero, JS and Peng, W (2004) Using data mining to improve the building life cycle, ANZAScA Conference (to appear).
Smith, G and Gero, JS (2004) Describing situated design agents, in JS Gero (ed), Design Computing and Cogition’04, Kluwer, pp. 439-457. (pdf)
Sosa, R and Gero, JS (2004) Diffusion of design ideas: Gatekeeping effects, in HS Lee and JW Choi (eds), CAADRIA 2004, Yonsei University Press, pp. 287-301. (pdf)
Sosa, R and Gero, JS (2004) A computational framework to investigate creativity and innovation in design, in JS Gero (ed), Design Computing and Cogition’04, Kluwer, pp. 499-517. (pdf)
Sosa, R and Gero, JS (2004) The role of gatekeepers in creativity, in P Gervas and K M Gupta (eds), Computational Creativity Workshop, 7 th European Conference on Case-Based Reasoning, Universidad Complutense de Madrid, pp. 257-268.
2003
Bento, C, Cardosa, A and Gero JS (eds) (2003) Approaches to Creativity in Artificial Intelligence and Cognitive Science, IJCAI03, Acapulco, 90 pp.
Kavakli, M and Gero, JS (2003) Difference between expert and novice designers: an experimental study, in U Lindemann (ed), Human Behaviour in Design, Springer, pp 42-51. (pdf)
Gunaratnam, D, Degroff, T and Gero, JS (2003) Improving neural network models of physical systems through dimensional analysis, Journal of Applied Soft Computing 2(4): 283-296. (pdf) https://doi.org/10.1016/S1568-4946(02)00061-3
Maher, ML, Gero, JS, Gu, N and Smith, G (2003) Cognitive agents in 3D virtual worlds, IJDC. http://www.arch.usyd.edu.au/~mary/ijdc03/
Ding, L, Liew, P, Maher, ML, Gero, JS and Drogemuller, R (2003) Integrating CAD and 3D virtual worlds using agents and EDM, in M-L Chiu, J-Y Tsou, T Kvan, M Morozumi and T-S Jeng (eds), Digital Design: Research and Practice, Kluwer, pp 301-323. (pdf)
Gero, JS (2003) Situated computing: A new paradigm for design computing, in A Choutgrajank, E Charoenslip, K Keatruangkamala and W Nakapan (eds), CAADRIA03, Rangsit University, Bangkok, pp 579-587. (pdf)
Gero, JS (2003) Design tools as situated agents that adapt to their use, in W Dokonal and U Hirschberg (eds), eCAADe21, eCAADe. Graz University of Technology, pp 177-180. (pdf)
Gero, JS (2003) Situated computing: A new paradigm for design computing, in S Hayman (ed), Proc 37th ANZAScA, University of Sydney, pp. 315-323.
Gero, JS and Jupp, J (2003) Feature-based qualitative representations of plans, in A Choutgrajank, E Charoenslip, K Keatruangkamala and W Nakapan (eds), CAADRIA03, Rangsit University, Bangkok, pp 117-128. (pdf)
Gero, JS and Kannengiesser, U (2003) A function-behaviour-structure view of social situated agents, in A Choutgrajank, E Charoenslip, K Keatruangkamala and W Nakapan (eds), CAADRIA03, Rangsit University, Bangkok, pp 707-715. (pdf)
Gero, JS and Kannengiesser, U (2003) Towards a framework for agent-based product modelling, ICED03, paper no 1621 ICED03 FPC, CDROM. (pdf)
Gero, JS and Kannengiesser, U (2003) Function-behaviour-structure; A model of social situated agents, in R Sun (ed), IJCAI03 Workshop on Cognitive Modeling of Agents and Multi-Agent Interaction, IJCAI, Acapulco, pp 101-107. (pdf)
Gero, JS and Kannengiesser, U (2003) Team expertise from individual expertise (through social interactions in computational agents), in N Cross and E Edmonds (eds), Expertise in Design, University of Technology Sydney, Sydney, pp 311-322. (pdf)
Gero, JS and Kazakov, V (2003) On measuring the visual complexity of 3D solid objects, in B Tuncer, S Ozsariyildiz and S Sariyilidiz (eds), e-Activities in Design and Design Education, Europia, Paris, pp 147-156. (pdf)
Jupp, J and Gero, JS (2003) Towards computational analysis of style in architectural design, in S Argamon (ed), IJCAI03 Workshop on Computational Approaches to Style Analysis and Synthesis, IJCAI, Acapulco, pp 1-10. (pdf)
Liew, P and Gero, JS (2003) Operational characteristics of a constructive memory system for design agents, in M-L Chiu, J-Y Tsou, T Kvan, M Morozumi and T-S Jeng (eds), Digital Design: Research and Practice, Kluwer, pp137-147. (pdf)
Maher, ML, Gero, JS, Smith, G and Gu, N (2013) Cognitive agents in 3D worlds, International Journal of Design Computing, Vol.6
Maher, ML, Liew, P and Gero, JS (2003) An agent approach to data sharing in virtual worlds and CAD, in Amor, R (ed.), Construction IT Bridging the Distance, CIB Report 284, pp 204-213. (pdf)
Maher, ML, Smith, G and Gero, JS (2003) Design agents in 3D worlds, in R Sun (ed), IJCAI03 Workshop on Cognitive Modeling of Agents and Multi-Agent Interaction, IJCAI, Acapulco, pp 92-100. (pdf)
Smith, G, Maher, ML and Gero, JS (2003) Designing 3D virtual worlds as society of agents, in M-L Chiu, J-Y Tsou, T Kvan, M Morozumi and T-S Jeng (eds), Digital Design: Research and Practice, Kluwer, pp 105-114. (pdf)
Sosa, R and Gero, JS (2003) Social change: Exploring design influence, in Hales, D. Edmonds, B. Norling, E.and Rouchier, J. (eds), Multi-Agent Based Simulation III, Springer, pp 106-119. (pdf)
Sosa, R and Gero, JS (2003) Design and change: A model of situated creativity, in Bento, C, Cardosa, A and Gero JS (eds) (2003) Approaches to Creativity in Artificial Intelligence and Cognitive Science, IJCAI03, Acapulco, pp 25-34. (pdf)
2002
Gero, JS (ed.) (2002) Artificial Intelligence in Design'02, Kluwer, Dordrecht, 642pp. (Springer link)
Gero, JS and Brazier, F (eds) (2002) Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, 279pp.
Kavakli, M and Gero, JS (2002) The structure of concurrent cognitive actions: A case study of novice and expert designers, Design Studies 23(1): 25-40. pdf
Gero, JS (2002) Towards a theory of designing as situated acts,International Conference on the Sciences of Design, Lyon (un-numbered).
Gero, JS (2002) Categorising technological knowledge from a design methodological perspective, International Conference on Technological Knowledge: Philosophical Reflections (un-numbered)
Gero, JS (2002) Advances in IT for building design, in M Anson, J Ko and E Lam (eds), Advances in Building Technology, Elsevier, Amsterdam, pp. 47-54. pdf
Gero, JS (2002) Computational models of creative designing based on situated cognition, in T Hewett and T Kavanagh (eds), Creativity and Cognition 2002, ACM Press, New York, NY, pp. 3-10. pdf
Gero, JS and Jupp, J (2002) Measuring the information content of architectural plans, in PL Hippolyte and E Miralles (eds), SIGraDi Caracas 2002, Ediciones Universidad Central de Venezuela, Caracas, pp. 155-158. pdf
Gero, JS and Kannengiesser, U (2002) The situated function-behaviour-structure framework, in JS Gero (ed.), Artificial Intelligence in Design'02, Kluwer, Dordrecht, pp. 89-104. pdf
Gero, JS and Kannengiesser, U (2002) Towards agent-based product modelling, in Borg, JC and Farrugia, P (eds), Knowledge Intensive CAD 5, University of Malta, pp185-198.
Gero, JS and Kazakov, V (2002) Complexity measures of design drawings and their application, ICCCBE-X,Taiwan (pdf)
Gero, JS and Sosa, R (2002) Creative design situations, in Eshaq, A, Khong, C, Neo, K, Neo, M and Ahmad, S (eds), CAADRIA2002, Prentice Hall, New York, pp. 191-198. pdf
Gero, JS and Sosa, R (2002) Creative individuals or creative situations, in PL Hippolyte and E Miralles (eds), SIGraDi Caracas 2002, Ediciones Universidad Central de Venezuela, Caracas, pp.31-34. pdf
Kannengiesser, U and Gero, JS (2002) Situated agent communication for design, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 85-94. pdf
Liew, P-K and Gero, JS (2002) A memory system for a situated design agent based on constructive memory, in Eshaq, A, Khong, C, Neo, K, Neo, M and Ahmad, S (eds), CAADRIA2002, Prentice Hall, New York, pp. 199-206. pdf
Liew, P and Gero, JS (2002) An implementation model of constructive memory for a situated design agent, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp.257-276. pdf
Maher, ML and Gero, JS (2002) Agent models of 3D virtual worlds, ACADIA 2002: Thresholds, California State Polytechnic University, Pomona, pp 127-138. pdf
Saunders, R and Gero, JS (2002) Curious agents and situated design evaluations, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 133-149. pdf
Saunders, R and Gero, JS (2002) How to study artificial creativity, in T Hewett and T Kavanagh (eds), Creativity and Cognition 2002, ACM Press, New York, NY, pp. 80-87. pdf
Smith, G and Gero, JS (2002) Interaction and experience: Situated agents and sketching, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 115-132. pdf
Sosa, R and Gero, JS (2002) Cellular automata models of creative design situations, in JS Gero and F Brazier (eds), Agents in Design 2002, Key Centre of Design Computing and Cognition, University of Sydney, Australia, pp. 165-180. pdf
Tang, H-H and Gero, JS (2002) A cognitive method to measure potential creativity in designing, in C Bento, A Cardoso and G Wiggins (eds) Workshop 17 - Creative Systems: Approaches to Creativity in AI and Cognitive Science, ECAI-02, Lyon, pp. 47-54. pdf
Tang, H-H and Gero, JS (2002) Inter-linkages in the design process: a holistic view towards design knowledge and sketches, in Durling, D and Shackleton, J (eds), Design Research Society Conference '02, Brunel University, London, p163.
2001
Gero, JS, Chase, S and Rosenman, MA (eds) (2001) CAADRIA2001, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, 505pp.
Gero, JS and Hori, K (eds) (2001) Strategic Knowledge and Concept Formation III, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, 280pp.
Gero, JS and Maher, ML (eds) (2001) Computational and Cognitive Models of Creative Design V, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, 266pp.
Gero, JS, Tversky, B and Purcell, AT (eds) (2001) Visual and Spatial Reasoning in Design II, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, 347pp.
Gero, JS and Kazakov, V (2001) Design knowledge acquisition and re-use using genetic engineering-based genetic algorithms, in R. Roy (ed.), Industrial Knowledge Management - A Micro Level Approach, Springer, London, pp. 107-122. (pdf)
Ding, L and Gero, JS (2001) The emergence of the representation of style in design, Environment and Planning B: Planning and Design, 28(5):707-731.(pdf)
Gero, JS and Kazakov, V (2001) A genetic engineering extension to genetic algorithms, Evolutionary Computation 9(1): 71-92 (pdf)
Gero, J. S. and Reffat, R. (2001) Multiple representations as a platform for situated learning systems in design, Knowledge-Based Systems, 14(7): 337-351. (pdf)
Gero, JS and Tang, HH (2001) Differences between retrospective and concurrent protocols in revealing the process-oriented aspects of the design process, Design Studies 21(3): 283-295. (pdf)
Kavakli, M and Gero, JS (2001) Sketching as mental imagery processing, Design Studies, 22(4): 347-364.(pdf)
Gero, JS (2001) Mass customization in design: Knowledge-based design globalization, in L Shaopei, M Renjie, S Huisheng, S Guojun and S Yan (eds), Proc. International Conference on Enhancement and Promotion of Computational methods in Engineering and Science, San Lian Publisher, Shanghai, pp. 175-184.
Gero, JS (2001) Mass customisation of creative designs, in S Culley, A Duffy, C McMahon and K Wallace (eds), Design Research - Theories, Methodologies and Product Modelling, Professional Engineers Publishing, London, pp. 339-346. (pdf)
Gero, JS and Kazakov, V (2001) Entropic similarity and complexity measures for architectural drawings, in JS Gero, B Tversky and T Purcell (eds), Visual and Spatial Reasoning in Design II, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, pp. 147-161. (pdf)
Kavakli, M and Gero, JS (2001) Strategic knowledge differences between an expert and a novice, in JS Gero and K Hori (eds), Strategic Knowledge and Concept Formation III, Key Centre of Design Computing and Cognition, University of Sydney, pp. 55-68
Kulinski, J and Gero, JS (2001) Constructive representation in situated analogy in design, in B de Vries, J van Leeuwen and H Achten (eds), CAADFutures 2001, Kluwer, Dordrecht, pp. 507-520. (pdf)
Saunders, R and Gero, JS (2001) Artificial creativity: A synthetic approach to the study of creative behaviour, in JS Gero and ML Maher (eds), Computational and Cognitive Models of Creative Design V, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, pp. 113-139. (pdf)
Saunders, R and Gero, JS (2001) Designing for interest and novelty: Motivating design agents, in B de Vries, J van Leeuwen and H Achten (eds), CAADFutures 2001, Kluwer, Dordrecht, pp.725-738. (pdf)
Saunders, R and Gero, JS (2001) A curious design agent, in JS Gero, S Chase and M Rosenman(eds), CAADRIA'01, Key Centre of Design Computing and Cognition, University of Sydney, pp. 345-350. (pdf)
Saunders, R and Gero, JS (2001) The digital clockwork muse: A computational model of aesthetic evolution, AISB'01, University of York, York, UK, pp. 12-21. (pdf)
Smith, G and Gero JS (2001) Emerging strategic knowledge while learning to interpret shapes, in JS Gero and K Hori (eds), Strategic Knowledge and Concept Formation III, Key Centre of Design Computing and Cognition, University of Sydney, pp. 69-86.
Smith, G and Gero, JS (2001) Situated design interpretation using a configuration of actor capabilities,in JS Gero, S Chase and M Rosenman (eds), CAADRIA’01, Key Centre of Design Computing and Cognition, University of Sydney, 2001, pp. 15-24. (pdf)
Suwa, M, Tversky, B, Gero, JS and Purcell, AT (2001) Regrouping parts of an external representation as a source of insight, Proc. 3rd International Conference on Cognitive Science, USTC Press, Beijing, China, pp. 692-696.
Suwa, M, Tversky, B, Gero, JS and Purcell, A. T. (2001) Seeing into sketches: Regrouping parts encourages new interpretations, in JS Gero, B Tversky and T Purcell (eds), Visual and Spatial Reasoning in Design II, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, pp. 207-219.(pdf)
Tang, H and Gero, JS (2001) Roles of knowledge while designing and implications for CAAD systems, in JS Gero, S Chase and M Rosenman (eds), CAADRIA’01, Key Centre of Design Computing and Cognition, University of Sydney, 2001, pp. 81-89. (pdf)
Tang, H-H and Gero, JS (2001) Sketches as affordances of meanings in the design process, in JS Gero, B Tversky and T Purcell (eds), Visual and Spatial Reasoning in Design II, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, pp. 271-282.(pdf)
Tang, H and Gero, JS (2001) Cognition-based CAAD, in B de Vries, J van Leeuwen and H Achten (eds), CAADFutures 2001, Kluwer, Dordrecht, pp.523-531. (pdf)
2000
Gero, J. S. (ed.) (2000) Artificial Intelligence in Design'00, Kluwer, Dordrecht , 719pp. (Springer link)
Gero, J. S. (2000) Computational models of innovative and creative design processes, Technological Forecasting and Social Change 64:183-196. doi.org/10.1016/S0040-1625(99)00105-5 (pdf)
Gero, J. S. and Fujii, H. (2000) A computational framework for concept formation in a situated design agent, Knowledge-Based Systems 13(6): 361-368.(pdf)
Gero, J. S. and Kazakov, V. (2000) Adaptive enlargement of state spaces in evolutionary designing, AIEDAM 14(1): 31-38. (pdf)
Gero, J. S. and Kazakov, V. (2000) Adapting evolutionary computing to model exploration in creative designing, IJDC 2
Shi, X-G and Gero, JS (2000) Design families and design individuals, Engineering with Computers 16: 253-263.(pdf)
Suwa, M., Gero, J. S. and Purcell, T. (2000) Unexpected discoveries and s-inventions of design requirements: Important vehicles for a design process, Design Studies 21(6): 539-567.(pdf)
Gero, J. S. (2000) Developments in computer-aided design, in H. Li, Q. Shen, D. Scott and P. Love (eds), INCITE 2000, HKPU Press, Hung Hom, Kowloon, Hong Kong, pp. 16-24.
Gero, J. S. (2000) Research methods for design science research: Computational and cognitive approaches, in D. Durling and K. Friedman (eds), Doctoral Education in Design, Staffordshire University Press, Stoke-on-Trent, pp.143-162.(pdf)
Gero, J. S. and Kannengiesser, U. (2000) Towards a situated Function-Behaviour-Structure framework as the basis of a theory of designing in T. Smithers (ed.), Workshop on Development and Application of Design Theories in AI in Design Research, Artificial Intelligence in Design’00, Worcester, MA , pp. gk:1-5.(pdf)
Gero, J. S. and Kazakov, V. (2000) Machine learning in design using genetic engineering-based genetic algorithms, in A. Duffy (ed.), Workshop on Machine Learning in Design Research, Artificial Intelligence in Design’00, Worcester, MA, pp.2:1-6.
Gero, J. S. and Kulinski, J. (2000) A situated approach to analogy in designing, in B-K. Tang, M. Tan and Y-C. Wong (eds), CAADRIA2000, CASA, Singapore, pp. 225-234.(pdf)
Gero, J. S. and Saunders, R. (2000) Constructed representations and their functions in computational models of designing, in B-K. Tang, M. Tan and Y-C. Wong (eds), CAADRIA2000, CASA, Singapore, pp. 215-224.(pdf)
Park, S-H. and Gero, J. S. (2000) Categorisation of shapes using shape features, in Gero, J. S. (ed.), Artificial Intelligence in Design’00, Kluwer, Dordrecht, pp.203-223.(pdf)
Reffat, R. and Gero, J. S. (2000) Computational situated learning in design, in Gero, J. S. (ed.), Artificial Intelligence in Design’00, Kluwer, Dordrecht , pp. 589-610. (pdf)
Reffat, R. and Gero, J. S. (2000) Towards active support systems for architectural designing, in D. Donath (ed.), eCAADe18, Bauhaus-Universitat, Weimar, pp. 143-147. (pdf)
Saunders, R. and Gero, J. S. (200) Situatedness and emergence, in H. Fujii (ed.) Workshop on Situatedness in Design, Artificial Intelligence in Design’00, Worcester, MA, pp. 11-13.
Smith, G. and Gero, J. S. (2000) The autonomous, rational design agent, in H. Fujii (ed.) Workshop on Situatedness in Design, Artificial Intelligence in Design’00, Worcester, MA, pp. 19-23.(pdf)
Tang, M. and Gero, J. S. (2000) Content-oriented coding scheme for protocol analysis and computer-aided architectural design, in B-K. Tang, M. Tan and Y-C. Wong (eds), CAADRIA2000, CASA, Singapore, pp. 265-275.(pdf)
1999
Gero, J. S. and Maher, M. L. (eds) (1999) Computational Models of Creative Design IV, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, 356pp.
Gero, J. S. and Tversky, B. (eds) (1999) Visual and Spatial Reasoning in Design, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, 282pp.
Rosenman, M. A. and Gero, J. S. (1999). Evolving designs by generating useful complex gene structures, in P . Bentley (ed.), Evolutionary Design by Computers,Morgan Kaufmann, San Francisco, pp. 345-364. (pdf)
Gero, J. S. (1999) Recent design science research: Constructive memory in design thinking, Architectural Science Review 42: 3-5.(pdf)
Gero, J. S. (1999) Editorial: Where's the research? International Journal of Design Computing, 2 (online only)
Rosenman, M. A. and Gero, J. S. (1999) Purpose and function in a collaborative CAD environment, Reliability Engineering and System Safety 64: 167-179.
Cha, M-Y. and Gero, J. S. (1999) Style learning: Inductive generalisation of architectural shape patterns, in A. Brown, M. Knight and P. Berridge (eds), Architectural Computing from Turing to 2000, eCAADe, University of Liverpool, Liverpool, pp. 629-644. (pdf)
Gero, J. S. (1999) Constructive memory in design thinking, in G. Goldschmidt and W. Porter (eds), Design Thinking Research Symposium: Design Representation, MIT, Cambridge, pp. I.29-35.(pdf)
Gero, J. S. (1999) A new model of designing which includes its situatedness, in J. Gu and Z. Wei (eds), CAADRIA'99, Shanghai Scientific and Technological Literature Publishing House, Shanghai, China, pp. 235-242.
Gero, J. S. (1999) Representation and reasoning about shapes: Cognitive and computational studies in visual reasoning in design, in C. Freksa and D. Marks (eds), Spatial Information Theory, Springer, Berlin, pp. 315-330. (pdf)
Gero, J. S. (1999) Extensions to evolutionary systems in design from genetic engineering and developmental biology, Proceedings 1999 Congress on Evolutionary Computation - CEC99, IEEE, Piscataway, New Jersey, pp. 474-479.
Gero, J. S. (1999) Engineering design, computers and creativity: some explorations and prognosis, in J. Garrett and D. Rehak (eds), Bridging the Generations, Carnegie Mellon University, Pittsburgh, PA, pp. 179-184.
Gero, J. S. (1999) Novel models in evolutionary designing, in R. McKay, X. Yao, C. Newton, J-H. Kim and T. Furuhashi (eds), Simulated Evolution and Learning, Springer, Berlin, pp. 381-388.
Gero, J. S. (1999) Recent developments in evolutionary systems for design, in A. Borkowski (ed.), Artificial Intelligence in Structural Engineering, Wydawnictwa Naukowo-Techniczne, Warsaw, pp. 23-38.
Gero, J. S. and Damski, J. (1999) Feature-based qualitative modeling of objects, in G. Augenbroe and C. Eastman (eds), Computers in Building, Kluwer, Boston, pp. 309-320. (pdf)
10. Gero, J. S. and Fujii, H. (1999) A computational framework for concept formation for a situated design agent, in K. Hori and L. Candy (eds), Proc Second International Workshop on Strategic Knowledge and Concept Formation, Iwate Prefectural University, Iwate, Japan, pp. 59-71.(pdf)
Gero, J. S. and Kazakov, V. (1999) Using analogy to extend the behaviour state space in creative design, in J. S. Gero and M. L. Maher (eds), Computational Models of Creative Design IV, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 113-143.(pdf )
Gero, J. S. and Kazakov, V. (1999) Adapting evolutionary computing for exploration in creative designing, in J. S. Gero and M. L. Maher (eds), Computational Models of Creative Design IV, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 175-186.(pdf)
Gero, J. S. and Kazakov, V. (1999) An interpolation/extrapolation process for creative designing, in G. Augenbroe and C. Eastman (eds), Computers in Building, Kluwer, Boston, pp. 263-274.(pdf)
Gero, J. S. and Shi, X-G. (1999) Design development based on an analogy with developmental biology, in J. Gu and Z. Wei (eds), CAADRIA'99, Shanghai Scientific and Technological Literature Publishing House, Shanghai, China, pp. 253-264.(pdf)
Gero, J. S. and Tang, H. (1999) Concurrent and retrospective protocols and computer-aided architectural design, in J. Gu and Z. Wei (eds), CAADRIA'99, Shanghai Scientific and Technological Literature Publishing House, Shanghai, China, pp. 403-410.(pdf)
Kavakli, M., Suwa, M., Gero, J. S. and Purcell, T. (1999) Sketching interpretation in novice and expert designers, in Gero, J. S. and Tversky, B. (eds), Visual and Spatial Reasoning in Design , Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 209-220.(pdf)
Park, S-H. and Gero, J. S. (1999) Qualitative representation and reasoning about shapes, in Gero, J. S. and Tversky, B. (eds), Visual and Spatial Reasoning in Design , Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 55-68.(pdf)
Reffat, R. and Gero, J. S. (1999) Situatedness: A new dimension for learning systems in design, in A. Brown, M. Knight and P. Berridge (eds), Architectural Computing from Turing to 2000, eCAADe, University of Liverpool, Liverpool, pp. 252-261. (pdf)
Suwa, M., Gero, J. S. and Purcell, T. (1999) How an architect created design requirements, in G. Goldschmidt and W. Porter (eds), Design Thinking Research Symposium: Design Representation, MIT, Cambridge, pp. II.101-124.
Suwa, M., Gero, J. S. and Purcell, T. (1999) Unexpected discoveries and s-inventions of design requirements: A key to creative designs, in J. S. Gero and M. L. Maher (eds), Computational Models of Creative Design IV, Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 297-320.(pdf)
Suwa, M., Gero, J. S. and Purcell, T. (1999) Unexpected discoveries: How designers discover hidden features in sketches, in Gero, J. S. and Tversky, B. (eds), Visual and Spatial Reasoning in Design , Key Centre of Design Computing and Cognition, University of Sydney, Sydney, Australia, pp. 145-162. (pdf)
1998
Gero, J. S. and Sudweeks, F. (eds) (1998). Artificial Intelligence in Design '98, Kluwer, Dordrecht, 682pp.
Gero, J. S. (1998). Adaptive systems in designing: New analogies from genetics and developmental biology, in I. Parmee (ed.), Adaptive Computing in Design and Manufacture, Springer, London, pp. 3-12. (pdf)
Gero, J. S. (1998). Conceptual designing as a sequence of situated acts, in I. Smith (ed.), Artificial Intelligence in Structural Engineering, Springer, Berlin, pp. 165-177. (pdf)
Gero, J. S. (1998). Towards a model of designing which includes its situatedness, in H. Grabowski, S. Rude and G. Green (eds), Universal Design Theory, Shaker Verlag, Aachen, pp. 47-56. (pdf)
Suwa, M., Gero, J. S. and Purcell, T. (1998). Analysis of cognitive processes of a designer as the foundation for support tools, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '98, Kluwer, Dordrecht, pp. 229-248. (pdf)
Gero, J. S. (1998). Design tools that learn, Advances in Engineering Software 29(10): 755-761. (pdf)
Gero, J. S. (1998) Concept formation in design, Knowledge-Based Systems 10(7-8): 429-435 (pdf)
Gero, J. S. and Jun, H. (1998). Emergence of shape semantics of architectural shapes, Environment and Planning B: Planning and Design 25(4): 577-600. (pdf)
Gero, J. S. and Kazakov, V. (1998). Evolving design genes in space layout problems, Artificial Intelligence in Engineering 12(3):163-176. (pdf)
Gero, J. S. and McNeill, T. (1998). An approach to the analysis of design protocols, Design Studies 19(1): 21-61. (pdf)
Jo, J. and Gero, J. S. (1998). Space layout planning using an evolutionary approach, Artificial Intelligence in Engineering 12(3): 149-162. (pdf)
McNeill, T., Gero, J. S. and Warren, J. (1998). Understanding conceptual electronic design using protocol analysis, Research in Engineering Design 10: 129-140. (pdf)
Purcell, T. and Gero, J. S. (1998). Drawings and the design process: A review of protocol studies in design and other disciplines and related research in cognitive psychology, Design Studies 19(4): 389-430. (pdf)
Rosenman, M. A. and Gero, J. S. (1998). Purpose and function in design, Design Studies 19(2): 161-186.
Suwa, M. Purcell, T. and Gero, J. S. (1998). Macroscopic analysis of design processes based on a scheme for coding designer's actions, Design Studies 19(4): 455-483. (pdf)
Cha, M. Y. and Gero, J. S. (1998). Shape pattern recognition using a computable shape pattern representation, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '98, Kluwer, Dordrecht, pp. 169-188. (pdf)
Damski, J. and Gero, J. S. (1998). Object representation and reasoning using halfplanes and logic, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '98, Kluwer, Dordrecht, pp. 107-126. (pdf)
Ding, L. and Gero, J. S. (1998). Emerging Chinese traditional architectural style using genetic engineering, in X. Huang, S. Yang and H. Wu (eds), International Conference on Artificial Intelligence for Engineering, HUST Press, Wuhan, China, pp.493-498.
Gero, J. S. (1998). Research in design computing: an artificial intelligence framework, in X. Huang, S. Yang and H. Wu (eds), International Conference on Artificial Intelligence for Engineering, HUST Press, Wuhan, China, pp.5-12. (pdf)
Gero, J. S. (1998). New models in evolutionary designing, in P. Bentley (ed.) AID?98 Workshop on Evolutionary Design, AID?98, Lisbon, pp. 37-41.
Gero, J. S. (1998). Emergence in designing, in S. Chase and L. Schmidt (eds) AID?98 Workshop on Emergence in Design, AID?98, Lisbon, pp. 9-12.
Gero, J. S. (1998). Situated learning in design, in A. Duffy (ed.) AID?98 Workshop on Machine Learning in Design, AID?98, Lisbon, pp. 1-5.
Gero, J. S. (1998). Research methods for design research, in T. Smithers (ed.) AID?98 Workshop on Research Methods in AI in Design, AID?98, Lisbon, pp. 33-34.
Gero, J. S. (1998) Novel models in evolutionary designing, in X. Yao, R. McKay, C. Newton, J-H. Kim and T. Furuhashi (eds), Simulated Evolution and Learning II, ADFA, Canberra, pp. ks: 1-8.
Gero, J. S. and Kazakov, V. (1998). Adaptive expansion of search spaces using emergent features, in J. Slaney, G. Antoniou and M. Maher (eds), AI'98,Griffith University, Brisbane, Australia, pp.25-36.
Park, S-H. and Gero, J. S. (1998). Analysis of architectural sketches using categorical shape knowledge based on shape features, in T. Sasada, S. Yamaguchi, M. Morozumi, A. Kaga and R Homma (eds), CAADRIA'98, CAADRIA, Kumomoto, Japan, pp. 401-414.
Reffat, R. and Gero, J. S. (1998). Learning about shape semantics: A situated learning approach, in T. Sasada, S. Yamaguchi, M. Morozumi, A. Kaga and R Homma (eds), CAADRIA'98,CAADRIA, Kumomoto, Japan, pp. 375-384.
Rosenman, M. A. and Gero, J. S. (1998). The role of purpose and function in a multidisciplinary CAD environment, in M. Modarres (ed.), Proceedings of the Fifth International Workshop on Functional Modeling of Complex Technical Systems, Center for Technology Risk Studies, College Park, Maryland, pp.149-166.
Rosenman, M. A. and Gero, J. S. (1998). CAD modelling in multidisciplinary design domains, in I. Smith (ed.), Artificial Intelligence in Structural Engineering, Springer, Berlin, pp.335-347. (pdf)
Schnier, T. and Gero, J. S. (1998). From Frank Lloyd Wright to Mondrian: Transforming evolving representations, in I. Parmee (ed.), Adaptive Computing in Design and Manufacture, Springer, London, pp. 207-219. (pdf)
Suwa, M., Gero, J. S. and Purcell, T. (1998). The role of sketches in early conceptual design processes, Proceedings of Twentieth Annual Meeting of the Cognitive Science Society, Lawrence Erlbaum, Hillsdale, New Jersey, pp. 1043-1048. (pdf)
1997
Maher, M. L., Gero, J. S. and Sudweeks, F. (eds) (1997) Formal Aspects of Collaborative CAD, Key Centre of Design Computing, University of Sydney, Sydney, Australia, 403pp.
Gero, J. S., Kazakov, V. and Schnier, T. (1997). Genetic engineering and design problems, in D. Dasgupta and Z. Michalewicz (eds), Evolutionary Algorithms in Engineering Applications, Springer Verlag, Berlin, pp.47-68. (pdf).
Gero, J. S. and Damski, J. (1997). A symbolic model for shape emergence, Environment and Planning B: Planning and Design 24: 509-526. (pdf). (link) https://doi.org/10.1068/b240509
Gero, J. S. and Kazakov, V. (1997). Learning and reusing information in space layout problems using genetic engineering, Artificial Intelligence in Engineering 11(3): 329-334. (pdf).
Wang, W. and Gero, J. S. (1997). Sequence-based prediction in the conceptual design of bridges, ASCE Jnl of Computing in Civil Engineering 11(1): 37-43. (pdf).
Damski, J. C. and Gero, J. S. (1997). An evolutionary approach to generating constraint-based space layout topologies, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 855-874. (pdf)
Gero, J. S. (1997). Concept formation in design: towards a loosely-wired brain model, in L. Candy and K. Hori (eds), Strategic Knowledge and Concept Formation Workshop, Loughborough University of Technology, Loughborough, pp.135-146. (pdf)
Gero, J. S. (1997). What are we learning from designers and its role in future CAAD tools, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 61-70. (pdf)
Gero, J. S. (1997). Where to from here?: some recent computer-aided design research, in C-K. Choi, C-B. Yun and H-K. Kwak (eds), Proceedings Seventh International Conference on Computing in Civil and Building Engineering, Techno-Press, Taejon, Korea, pp.29-37. (pdf)
Gero, J. S. and Cha, M. Y. (1997). Computer-based representation of patterns in architectural shapes, in Y-T. Liu, J-Y. Tsou and J-H. Hou (eds), CAADRIA'97, Hu's Publisher, Taipei, Taiwan, pp. 377-388. (pdf)
Gero, J. S. and Ding, L. (1997). Learning emergent style using an evolutionary approach, in B. Varma and X. Yao (eds), ICCIMA'97, Griffith University, Gold Coast, Queensland, Australia, pp. 171-175.
Gero, J. S. and Ding, L. (1997). Exploring style emergence in architectural designs, in Y-T. Liu, J-H. Tsou and J-H. Hou (eds), CAADRIA'97, Hu's Publisher, Taipei, Taiwan, pp. 287-296. (pdf)
Gero, J. S. and Maher, M. L. (1997) A framework for research in design computing, in B. Martens, H. Linzer and A. Voigt (eds), ECAADE'97, Osterreichischer Kunst und Kulturverlag, Vienna (CD-ROM), Topic 1, paper 8. (pdf)
Gero, J. S. and Nath, G. (1997). Formalising situated learning in agent-based systems, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 801-808. (pdf)
Gero, J. S. and Park, S-H. Computable feature-based qualitative modeling of shape and space, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 821-830. (pdf)
Gero, J. S. and Park, S.-H. (1997). Qualitative representation of shape and space for computer-aided architectural design, in Y-T. Liu, J-H. Tsou and J-H. Hou (eds), CAADRIA'97, Hu's Publisher, Taipei, Taiwan, pp. 323-334.
Gero, J. S. and Reffat, R. (1997). Multiple representations for situated agent-based learning, in B. Varma and X. Yao (eds), ICCIMA'97, Griffith University, Gold Coast, Queensland, Australia, pp. 81-85.(pdf)
Jagielski, R. and Gero, J. S. (1997). A genetic programming approach to the space layout planning problem, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 875-884. (pdf)
Jun, H. and Gero, J. S. (1997). Representation, re-representation and emergence in collaborative computer-aided design, in Maher, M. L., Gero, J. S. and Sudweeks, F. (eds), Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, pp. 303-320 (pdf)
Maher, M. L., Gero, J. S. and Sudweeks, F. (eds) (1997). Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, 405pp.
Rosenman, M. A. and Gero, J. S. (1997). Collaborative CAD modelling in multidisciplinary design domains, in Maher, M. L., Gero, J. S. and Sudweeks, F. (eds), Preprints Formal Aspects of Collaborative Computer-Aided Design, Key Centre of Design Computing, University of Sydney, Sydney, pp. 387-403. (pdf)
Schnier, T. and Gero, J. S. (1997). Dominant and recessive genes in evolutionary systems applied to spatial reasoning, in A. Sattar (ed.), Advanced Topics in Artificial Intelligence: 10th Australian Joint Conference on Artificial Intelligence AI97 Proceedings, Springer, Heidelberg, pp. 127-136.(pdf)
Tomlinson, P. and Gero, J. S. (1997). Emergent shape generation via the boundary contour system, in R. Junge (ed.), CAAD Futures 1997, Kluwer, Dordrecht, pp. 865-874. (pdf)
1996
Gero, J. S. (ed.) (1996). Advances in Formal Design Methods for CAD, Chapman and Hall, London, 299pp. (pdf)
Gero, J. S. and Sudweeks, F. (eds) (1996). Artificial Intelligence in Design'96, Kluwer, Dordrecht, 782pp. (pdf)
Gero, J. S. (1996). Advances in formal design methods for computer-aided design, in Gero, J. S. (ed.) Advances in Formal Design Methods for CAD, Chapman and Hall, London, pp. 293-298.
Gero, J. S. (1996). Computers and creative design, in M. Tan and R. Teh (eds), The Global Design Studio, National University of Singapore, pp.11-19.(pdf)
Gero, J. S., Balachandran, M. B. and Rosenman, M. A. (1996). Integration of expert systems and CAD systems for design verification, in I. Tommelein (ed.), Expert Systems for Civil Engineers: Integration Issues, ASCE, New York, pp. 117-144.
Gero, J. S. and Kazakov, V. (1996). Evolving building blocks for design using genetic engineering: A formal approach, in Gero, J. S. (ed.) Advances in Formal Design Methods for CAD, Chapman and Hall, London, pp. 31-50. (pdf)
Purcell, A. T., Gero, J. S., Edwards, H. and McNeill, T. (1996). The data in design protocols: The issue of data coding, data analysis in the development of models of the design process, in N. Cross, H. Christiaans and K. Dorst (eds), Analysing Design Activity, John Wiley, Chichester, pp. 225-252. (pdf)
Schnier, T. and Gero, J. S. (1996). Learning genetic representations as alternative to hand-coded shape grammars, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design'96, Kluwer, Dordrecht, pp.39-57. (pdf)
Damski, J. C. and Gero, J. S. (1996). A logic-based framework for shape representation, Computer-Aided Design 28(3):169-181 (pdf)
Gero, J. S. (1996). Artificial intelligence in computer-aided design: Progress and prognosis, Computer-Aided Design 28(3):153-154.
Gero, J. S. (1996) Evolutionary systems in design, Microcomputers in Civil Engineering 11:1-2.
Gero, J. S. (1996) Improving design problem formulations using machine learning, AIEDAM 10:147-148.
Gero, J. S. (1996). Creativity, emergence and evolution in design: concepts and framework, Knowledge-Based Systems 9(7): 435-448. (pdf)
Gero, J. S. and Kazakov, V. (1996). An exploration-based evolutionary model of a generative design process, Microcomputers in Civil Engineering 11:209-216 (pdf)
Purcell, T. A. and Gero, J. S.(1996) Design and other types of fixation, Design Studies 17(4): 363-383 (pdf)
Qian, L. and Gero, J. S. (1996). Function-behaviour-structure paths and their role in analogy-based design, AIEDAM 10: 289-312. (link) (pdf)
Rosenman, M. A. and Gero, J. S. (1996). Modelling multiple views of design objects in a collaborative CAD environment, Computer-Aided Design 28(3): 193-205 (pdf).
Schnier, T. and Gero, J. S. (1996) Learning representations for creative design using evolution, AIEDAM 10:175-177. doi: 10.1017/S0890060400001499
Damski, J. C. and Gero, J. S. (1996). Shape reasoning in CAD systems, in T. Tanaka, S. Ohsuga and M. Ali (eds), Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Gordon and Breach, Amsterdam, pp. 369-374.
Gero, J. S. (1996). Design tools that learn: A possible CAD future, in B. Kumar (ed.), Information Processing in Civil and Structural Design, Civil-Comp Press, Edinburgh, pp. 17-22 (pdf).
Gero, J. S. and Kazakov, V. (1996). Spatial layout planning using evolved design genes, in C. Dagli, M. Akay, C. Chen, B. Fernandez and J. Ghosh (eds), Smart Engineering Systems: Neural Networks, Fuzzy Logic and Evolutionary Programming, ASME Press, New York, pp. 379-384.
Gero, J. S., Kazakov, V and Schnier, T. (1996). The genetic engineering of evolutionary systems in design, AID'96 Workshop on Evolutionary Systems, Stanford University, Stanford, pp. 47-53.
Gero, J. S., Kazakov, V and Schnier, T. (1996). Evolving design genes as well as design solutions, in J. Vanegas and P. Chinowski (eds), Computing in Civil Engineering, ASCE, New York, pp. 84-90.
Gero, J. S. and Maher, M. L. (1996). Current CAAD research at the Key Centre of Design Computing, University of Sydney, in T. Kvan (ed.), CAADRIA'96, University of Hong Kong, pp. 33-50.
Gero, J. S. and Maher, M. L. (1996). Some current AI research at the Key Centre of Design Computing, University of Sydney, in I. MacLeod (ed.), Applications of Artificial Intelligence in Structural Engineering III, University of Strathclyde, Glasgow, pp. 17-25.
Gero, J. S. and Park, S-H. (1996). Qualitative representation of shapes using shape features, AID'96 Workshop on Visual Reasoning, Stanford University, Stanford, pp. 11:1-11.
Maher, M. L., Rutherford, J. and Gero, J. S. (1996). Graduate Design Computing teaching at the University of Sydney, in T. Kvan (ed.), CAADRIA'96, University of Hong Kong, Hong Kong, pp. 229-240.
Rosenman, M. A. and Gero, J. S. (1996). Modelling multiple views in a collaborative CAD environment, InCIT'96, Institution of Engineers Australia, Canberra, NCP 96/04, pp. 49-62. (pdf)
Gero, J. S. (1995). Recent advances in computational models of creative design, in P. Pahl and H. Werner (eds), Computing in Civil and Building Engineering, Balkema, Rotterdam, pp. 21-30.
Gero, J. S., Damski, J. and Jun, H. (1996). Emergent shape semantics, in M. Tan and R. Teh (eds), The Global Design Studio, National University of Singapore, pp.423-438. (pdf)
Gero, J. S. and Jun, H. (1995). Getting computers to read the architectural semantics of drawings, in L. Kalisperis and B. Kolarevic (eds), Computing in Design: Enabling, Capturing and Sharing Ideas, ACADIA, pp.97-112. (pdf)
Jo, J. and Gero, J. S. (1996) Space layout planning using an evolutionary approach, in M. Tan and R. Teh (eds), Representation and use of design knowledge in evolutionary design, National University of Singapore, pp.189-203. (pdf)
1995
Schnier, T. and Gero, J. S. (1995). Learning representations for evolutionary computation, in X. Yao (ed.) Eighth Australian Joint Conference on Artificial Intelligence, World Scientific, Singapore, pp.387-394. (pdf)
Gero, J. S. and Louis, S. (1995). Improving Pareto optimal designs using genetic algorithms, Microcomputers in Civil Engineering 10(4): 241-249. (pdf)
Jo, J. and Gero, J. S. (1995). A genetic search approach to space layout planning, Architectural Science Review 38(1): 37-46. (pdf) doi: 10.1080/00038628.1995.9696774
Gero, J. S. (1995). Improving design problem formulations using machine learning, in J. P. Mohsen (ed.), Second Congress on Computing in Civil Engineering, ASCE, New York, pp. 525-529.
Gero, J. S. (1995). Exploration, redescription and design creativity, Fourth International Workshop on Research Directions for Artificial Intelligence in Design, Enschede, pp. 35-40.
Gero, J. S. (1995). The role of function-behavior-structure models in design, in J. P. Mohsen (ed.), 2nd Congress on Computing in Civil Engineering, ASCE, New York, pp. 525-529.
Gero, J. S. (1995). Recent advances in computational models of creative design, in R. Oxman, T. Bax and H. Achten (eds), Design Research in the Netherlands,ETH, Eindhoven, pp.56-57.
Gero, J. S. (1995). Computers in creative design, ARCHCOMP, SAFA, Helsinki, pp.1-13. (pdf)
Gero, J. S. (1995). Graphical emergence in a computational model of creative design, Second International Conference on Computer-Aided Design,National Chiao Tung University, Hsinchu, Taiwan, pp.4-11.
Gero, J. S. and Jun, H. (1995). Visual semantic emergence to support creative design: A computational view, in J. S. Gero, M. L. Maher and F. Sudweeks (eds), Preprints Computational Models of Creative Design , University of Sydney, pp.87-117. (pdf)
Gero, J. S. and Jun, H. (1995). Getting computers to read the architectural semantics of drawings, in L. Kalisperis and B. Kolarevic (eds), Computing in Design: Enabling, Capturing and Sharing Ideas, ACADIA, Washington, pp. 97-112. (pdf)
Gero, J. S. and Kazakov, V. (1995). Evolving building blocks for design using genetic engineering: A formal approach, in J. S. Gero and F. Sudweeks (eds), Advances in Formal Design Methods for CAD, IFIP-University of Sydney, Sydney, pp. 29-48. (pdf)
Gero. J. S. and Kazakov, V. (1995). Evolving building blocks for genetic algorithms using genetic engineering, 1995 IEEE International Conference on Evolutionary Computing , pp. 340-345.
Gero, J. S. and Schnier, T. (1995). Evolving representations of design cases and their use in creative design, in J. S. Gero, M. L. Maher and F. Sudweeks (eds), Preprints Computational Models of Creative Design , Key Centre of Design Computing, University of Sydney, pp. 343-368. (pdf)
Gero, J. S. and Sudweeks, F. (eds) (1995). Preprints Advances in Formal Design Methods for CAD, IFIP-University of Sydney, Sydney, 369pp.
Qian, L. and Gero, J. S. (1995). An approach to design exploration using analogy, in J. S. Gero, M. L. Maher and F. Sudweeks (eds), Preprints Computational Models of Creative Design , University of Sydney, pp.3-16.
1994
Gero, J. S. and Tyugu, E. (eds) (1994). Formal Design Methods for CAD, North-Holland, Amsterdam, 362pp.
Gero, J. S. and Sudweeks, F. (eds) (1994). Artificial Intelligence in Design '94, Kluwer, Dordrecht, 770pp. (pdf)
Coyne, R. D., Rosenman, M. A., Radford, A. D., Balachandran, M. B. and Gero, J. S. (1994). Knowledge-Based Design Systems (Japanese translation), Ohm-Sha, Tokyo, 522pp (original, 1990)
Gero, J. S. (1994). Design and creativity, in T. Dartnall (ed.), AI and Creativity, Kluwer, Dordrecht, pp. 259-267.
Gero, J. S. (1994). Computational models of creative design processes, in T. Dartnall (ed.), AI and Creativity , Kluwer, Dordrecht, pp. 269-281. (pdf)
Gero, J. S. (1994). Towards a model of exploration in computer-aided design, in J. S. Gero and E. Tyugu (eds) (1994). Formal Design Methods for CAD, North-Holland, Amsterdam, pp. 315-336. (pdf)
Gero, J. S. (1994). Formal design methods for computer-aided design-closing discussion, in J. S. Gero and E. Tyugu (eds), Formal Design Methods for Computer-Aided Design, North-Holland, Amsterdam, pp. 353-360.
Gero, J. S. (1994). Design, computers and creativity, in V. Popovic (ed.), Design Challenges, AIID, Brisbane, pp. 12-18.
Gero, J. S. and Damski, J. (1994). Object emergence in 3D using a data driven approach, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '94, Kluwer, Dordrecht, pp. 419-436.
Purcell, A. T., Gero, J. S., Edwards, H. and Matka, E. (1994). Design fixation and intelligent design assistants, in J. S. Gero and F. Sudweeks (eds), Artificial Intelligence in Design '94, Kluwer, Dordrecht, pp. 483-496. (pdf)
Rosenman, M. A., Gero, J. S. and Maher, M. L. (1994). Knowledge-based design research at the Key Centre of Design Computing, in G. Carrara and Y. Kalay (eds), Knowledge-Based Computer-Aided Architectural Design, Elsevier, Amsterdam, pp. 329-378.
Gero, J. S., Louis, S. and Kundu, S. (1994). Evolutionary learning of novel grammars for design improvement, AIEDAM, 8(2): 83-94. (pdf).
Gero, J. S. and Yan, M. (1994). Shape emergence using symbolic reasoning, Environment and Planning B: Planning and Design, 21: 191-218. (link)
Gunaratnam, D. and Gero, J. S. (1994). Effects of representation on performance of neural networks in structural engineering applications, Microcomputers in Civil Engineering, 9: 97-108. (pdf)
Rosenman, M. A. and Gero, J. S. (1994). The what, the how and the why in design, Applications of Artificial Intelligence, 8(2): 199-218. (journal link)
Rosenman, M. A., Gero, J. S. and Maher, M. L. (1994). Knowledge-based design research at the Key Centre of Design Computing, Automation in Construction, 3(2-3): 229-237. (journal link)
Damski, J. and Gero, J. S. (1994). Visual reasoning as visual re-interpretation through re-representation, AID'94 Workshop on Reasoning with Shapes in Design, Lausanne, pp. 16-20.
Damski, J. and Gero, J. S. (1994). A model of shape emergence based on human perception, Information Technology in Design, Vol. 2, ICSTI, Moscow, pp. 96-105.
Gero, J. S. (1994). Engineering design, computers and creativity: some explorations and prognosis, in D. Rehak (ed.), Bridging the Generations-Future Directions of Computer-Aided Engineering, Department of Civil Engineering, Carnegie Mellon University, pp. 195-200.
Gero, J. S. (1994). Exploration as a basis of creative engineering design, in K. Khozeimeh (ed.), Computing in Civil Engineering, ASCE, New York, pp. 1825-1831.
Gero, J. S. (1994). Computers and creativity in architecture, CADEX NSW'94, ACADS, Sydney, 8pp.
Gero, J. S. (1994). Machine learning of optimal design problem formulations, AID'94 Workshop on Machine Learning in Design, pp. 1-4.
Purcell, A. T., Gero, J. S., Edwards, H. and McNeill, T. (1994). The data in design protocols: The issue of data coding, data analysis in the development of models of the design process, Analysing Design Activity-The Delft Protocols Workshop, Delft University of Technology, pp. 169-187.
Wang, W. and Gero, J. S. (1994). Dynamic memory approaches to qualitative prediction, in C. Zhang, J. Debenham and D. Lukose (eds), AI'94, World Scientific, Singapore, pp.84-91.
1993
Gero, J. S. and Maher, M. L. (eds) (1993). Modeling Creativity and Knowledge-Based Creative Design, Lawrence Erlbaum, Hillsdale, New Jersey, 354pp.
Gero, J. S. and Maher, M. L. (1993). Introduction, in J. S. Gero and M. L. Maher (eds), Modeling Creativity and Knowledge-Based Creative Design, Lawrence Erlbaum, Hillsdale, New Jersey, pp. 1-6.
Rosenman, M. A. and Gero, J. S. (1993). Creativity in design using a design prototype approach, in J. S. Gero and M. L. Maher (eds), Modeling Creativity and Knowledge-Based Creative Design, Lawrence Erlbaum, Hillsdale, New Jersey, pp. 119-148.
Colbron, B., Gero, J. S., Purcell, T. and Williams, P. (1993). The role of design discipline and pictorial information in fixation effects in design problem solving, CogSci'93, pp. 76-78.
Damski, J. and Gero, J. S. (1993). Using logic to represent graphical shapes, in C. Rowles, H. Liu and N. Foo (eds), AI'93, World Scientific, Singapore, pp. 90-95.
Gero, J. S. (1993). The role of visual emergence in collaborative design, Computational Support for Distributed Collaborative Design, Key Centre of Design Computing, University of Sydney, pp. 103-115. (pdf)
Gero, J. S. (1993). Design, computers and creativity, in S. Hayman (ed.), Architectural Science: Past Present and Future, ANZAScA, University of Sydney, Sydney, pp. 11-16.
Gero, J. S. (1993). Visual emergence in design collaboration, International Journal of CADCAM and Computer Graphics, 8(3): 349-357.
Gero, J. S. (1993). AI and new computational models of design, Knowledge-Based Systems in Civil Engineering, IABSE, Zurich, pp. 25-32.
Gero, J. S. (1993). New knowledge-based CAD models of design, in K. Mathur, M. Betts and K. W. Tham (eds), Management of Information Technology for Construction, World Scientific, Singapore, pp. 199-208. (pdf)
Gero, J. S. (1993). Emergence in collaborative computer-aided design, in J. S. Gero and M. L. Maher (eds) (1993). AI in Collaborative Design, Workshop Preprints, AAAI-93, pp. 233-239.
Gero, J. S. (1993). Towards a model of exploration in design, in J. S. Gero and and F. Sudweeks (eds) (1993). Preprints Formal Design Methods for CAD, Key Centre of Design Computing, University of Sydney, Sydney, IFIP, pp. 271-292.
Gero, J. S. (1993). Forty years of Architectural Science: Guest Editorial, Architectural Science Review, 36(4): 149-150. (DOI: 10.1080/00038628.1993.9696754 )
Gero, J. S. and Kumar, B. (1993). Expanding design spaces through new design variables, Design Studies, 14(2): 210-221. (pdf)
Gero, J. S. and Purcell, T. (1993). Cognitive modelling in design - editorial, Environment and Planning B, 20: 253-256. (link)
Gero, J. S., Sevinc, S. and Choi, D. (1993). A computational model of emergent visual forms, CogSci'93, pp. 85-87.
Gero, J. S. and Sudweeks, F. (eds) (1993). Preprints Formal Design Methods for CAD, Key Centre of Design Computing, University of Sydney, IFIP, Sydney, 293pp.
Gero, J. S. and Yan, M. (1993). Discovering emergent shapes using a data-driven symbolic model, in U. Flemming and S. Van Wyk (eds), CAAD Futures'93, North-Holland, Amsterdam, pp. 3-17. (pdf)
Gunaratnam, D. and Gero, J. S. (1993). Neural network learning in structural engineering applications, in L. F. Cohn (ed.), Computing in Civil and Building Engineering, Vol. 2, ASCE, New York, pp. 1448-1455.
Kumar, B. and Gero, J. S. (1993). Designing with conflicting constraints, Computing Systems in Engineering, 4(1): 75-86.
Maher, M. L., Gero, J. S. and Saad, M. (1993). Synchronous support and emergence in collaborative CAAD, in U. Flemming and S. Van Wyk (eds), CAAD Futures '93, North-Holland, Amsterdam, pp. 455-470. (pdf)
Qian, L. and Gero, J. S. (1993). Creative engineering design using analogy, in L. F. Cohn (ed.), Computing in Civil and Building Engineering, Vol. 2, ASCE, New York, pp. 1634-1641.
Qian, L. and Gero, J. S. (1993). Design part classification by goal achievement, in A. N. Kumar (ed.), Reasoning About Function, Workshop Preprints AAAI-93, pp. 121-125.
Purcell, T., Williams, P., Gero, J. S. and Colbron, B. (1993). Fixation effects: do they exist in design problem solving? Environment and Planning B, 20: 333-345. (pdf)
Rosenman, M. A. and Gero, J. S. (1993). The what, the how and the why in design, in A. N. Kumar (ed.), Reasoning About Function, Workshop Preprints, AAAI-93, pp. 121-125.
Rosenman, M. A., Gero, J. S. and Hwang, Y-S. (1993). Representation of multiple concepts of a design object based on multiple functions, in K. Mathur, M. Betts and K. W. Tham (eds), Management of Information Technology for Construction, World Scientific, Singapore, pp. 239-254. (pdf)
Wang, W. and Gero, J. S. (1993). A memory organisation for heterogeneous design knowledge, Knowledge-Based Systems in Civil Engineering, IABSE, Zurich, pp. 99-107. (pdf)
Wang, W. and Gero, J. S. (1993). Acquiring design knowledge from design cases, in N. K. Kasabov (ed.) Proceedings First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, IEEE, Los Alamitos, pp. 338-340.
Williams, P., Wang, W. and Gero, J. S. (1993). Generic memory organisation packets: implementation and evaluation, in C. Rowles, H. Liu and N. Foo (eds), 6th Australian Joint Conference on Artificial Intelligence, AI'93, World Scientific, Singapore, pp.236-242.
1992
Gero, J. S. (ed.) (1992). Artificial Intelligence in Design '92, Kluwer, Dordrecht, 926pp.
Gero, J. S., Tham, K. W. and Lee, H. S. (1992). Behaviour: A link between function and structure in design, in D. C. Brown, M. B. Waldron and H. Yoshikawa (eds), Intelligent Computer Aided Design, North-Holland, Amsterdam, pp. 193-225.
Gero, J. S. (1992). Intelligent computer aided design: themes and predictions, in D. C. Brown, M. Waldron and H. Yoshikawa (eds), Intelligent Computer Aided Design, North-Holland, Amsterdam, pp. 447-460.
Gero, J. S. (1992). Knowledge-based approaches to engineering design, in B. Topping (ed.), Optimization and Artificial Intelligence in Civil and Structural Engineering, Volume II, Kluwer, Dordrecht, pp. 1-12.
Gero, J. S. and Balachandran, B. M. (1992). Knowledge-based interfaces for optimization problems, in B. Topping (ed.), Optimization and Artificial Intelligence in Civil and Structural Engineering, Volume II, Kluwer, Dordrecht, pp. 22-25.
Gero, J. S., Mackenzie, C. A. and McLaughlin, S. (1992). Learning from optimal solutions to design problems, in B. Topping (ed.), Optimization and Artificial Intelligence in Civil and Structural Engineering, Volume II, Kluwer, Dordrecht, pp. 217-245.
Qian, L. and Gero, J. S. (1992). A design support system using analogy, in J. S. Gero (ed.), Artificial Intelligence in Design '92, Kluwer, Dordrecht, pp. 795-816.
Tham, K. W. and Gero, J. S. (1992). PROBER-A design system based on design prototypes, in J. S. Gero (ed.), Artificial Intelligence in Design '92, Kluwer, Dordrecht, pp. 657-676.
Coyne, R. D. and Gero, J. S. (1992). CAD in education: Department of Architectural and Design Science, University of Sydney, ACADIA Quarterly 11(4): 15-19.
Gero, J. S. (1992). AI-The changing face of computers in design, Trans. Mech. Eng. IEAust ME17(4): 221-229.
Gero, J. S. (1992). Artificial intelligence and creative design, in J. S. Gero and F. Sudweeks (eds), Third Workshop on Research Directions for Artificial Intelligence in Design, Design Computing Unit, University of Sydney, Sydney, pp. 15-18.
Gero, J. S. (1992). Creativity, emergence and evolution in design, in J. S. Gero and F. Sudweeks (eds), Preprints Computational Models of Creative Design, Department of Architectural and Design Science, University of Sydney, pp. 1-28. (pdf)
Gero, J. S. (1992). Current and potential (IT) research and its impact on product design, Proceedings IMechE-SERC Expert Meeting, St Albans, UK, pp. 14-18.
Gero, J. S. (1992). Machine learning-what for?, AID'92 Workshop on Machine Learning in Design, pp. 31-32.
Gero, J. S. (1992). What's in a design case and how it can be used, AID'92 Workshop on Case Based Design Systems, pp. 27-28.
Gero, J. S. (1992). Why search and exploration in design are different but not that different, and how do you explore?, AID'92 Workshop on Search-Based and Exploration-Based Models of Design Process, p. 39.
Gero, J. S., Coyne, R. D. and Maher, M. L. (1992). Teaching and research in the Design Computing Unit of the University of Sydney, Revue des Sciences et Techniques de la Conception1(1): 69-84.
Gero, J. S. and Maher, M. L. (1992). Mutation and analogy to support creativity in computer-aided design, in G. N. Schmitt (ed.), CAAD Futures '91, Vieweg, Wiesbaden, pp. 261-270. (pdf)
Hybs, I. and Gero, J. S. (1992). An evolutionary process model of design, Design Studies 13(3): 273-290. (pdf)
Purcell, A. T. and Gero, J. S. (1992). Effects of examples on the results of a design activity, Knowledge-Based Systems 5(1): 82-91.
Rosenman, M. A., Gero, J. S. and Oxman, R. (1992). What's in a case: the use of case bases, knowledge bases and databases in design, in G. N. Schmitt (ed.), CAAD Futures '91, Vieweg, Wiesbaden, pp. 285-300. (pdf)
1991
Gero, J. S. (ed.) (1991). Artificial Intelligence in Design'91, Butterworth-Heinemann, Oxford, 942pp. (pdf)
Balachandran, M., Rosenman, M. A. and Gero, J. S. (1991). A knowledge-based approach to the automatic verification of designs from CAD databases, in J. S. Gero (ed.), Artificial Intelligence in Design '91, Butterworth-Heinemann, Oxford, pp. 757-781. (pdf)
Purcell, A. T. and Gero, J. S. (1991). The effects of examples on the results of a design activity, in J. S. Gero (ed.), Artificial Intelligence in Design '91, Butterworth-Heinemann, Oxford, pp. 525-542.
Gero, J. S. (1991). Developments in artificial intelligence in design with particular reference to creative design, in K. Zreik (ed.), EuropIA'91, Technical University of Athens, Athens, pp. 169-179.
Gero, J. S. (1991). Expert systems for design: a framework, in J. Liebowitz (ed.), World Congress on Expert Systems, Pergamon, New York, pp. 721-727.
Gero, J. S. (1991). Artificial intelligence in engineering design: progress and prognosis, Fourth International Conference on Computing in Civil and Building Engineering, Tokyo, pp. 11-18.
Gero, J. S. (1991) Ten problems for AI in design, Workshop on AI in Design, IJCAI-91, un-numbered (pdf)
Gero, J. S. and Jo, J. (1991). Design mutation as a computational process, in G. Woodbury (ed.), The Technology of Design, ANZAScA, University of Adelaide, Adelaide, pp. 135-143.
Gero, J. S. and Maher, M. L. (1991). Mutation and analogy to support creativity in computer-aided design, in G. N. Schmitt (ed.), CAAD Futures '91, ETH, Zurich, pp. 241-249. (pdf)
Gero, J. S. and Sun, D. (1991). Representing design experience through design cases: the use of case-based reasoning in design, in G. Woodbury (ed.), The Technology of Design, ANZAScA, University of Adelaide, Adelaide, pp.235-244.
Gero, J. S., Tham, K. W. and Lee, H. S. (1991). Behaviour: a link between function and structure in design, in D. C. Brown, H. Yoshikawa and M. Waldron (eds), IntCAD'91 Preprints, IFIP, Ohio, pp. 201-230.
Gunaratnam, D. and Gero, J. S. (1991). High-level relationships in structural design: the effect of representation in learning, in G. Woodbury (ed.), The Technology of Design, ANZAScA, University of Adelaide, Adelaide, pp. 127-134.
Rosenman, M. A., Gero, J. S. and Oxman, R. (1991). What's in a case: the use of case bases, knowledge bases and databases in design, in G. N. Schmitt (ed.), CAAD Futures '91, ETH, Zurich, pp. 263-277. (pdf)
1990
Coyne, R. D., Rosenman, M. A., Radford, A. D., Balachandran, M. B. and Gero, J. S. (1990). Knowledge-Based Design Systems, Addison-Wesley, Reading, 567pp.
Gero, J. S. (ed.) (1990). Application of Artificial Intelligence in Engineering V: Design, CMP/Springer-Verlag, Berlin, 319 pp.
Balachandran, M. and Gero, J. S. (1990). Knowledge engineering and multicriteria optimization, in H. Eschenauer, J. Koski and A. Osyczka (eds), Multicriteria Design Optimization, Springer-Verlag, Berlin, pp. 115-147.
Gero, J. S. and Rosenman, M. A. (1990). Design decision making using Pareto-optimal dynamic programming, in H. Eschenauer, J. Koski and A. Osyczka (eds), Multicriteria Design Optimization, Springer-Verlag, Berlin, pp. 376-396.
Gero, J. S. (1990). A locus for knowledge-based systems in CAAD education, in M. McCullough, W. J. Mitchell and P. Purcell (eds), The Electronic Design Studio, MIT Press, Cambridge, Massachusetts, pp. 49-60. (pdf)
Gero, J. S. and Maher, M. L. (1990). Theoretical requirements for creative design by analogy, in P. Fitzhorn (ed.), Proceedings of the First International Workshop on Formal Methods in Engineering Design, Manufacturing and Assembly, Colorado State University, Fort Collins, pp. 19-27.
Gero, J. S. and Maher, M. L. (1990). Expert systems in building, Building and Environment, 25(3): 195-197.
Balachandran, M. and Gero, J. S. (1990). Role of prototypes in integrating expert systems and CAD systems, in J. S. Gero (ed.), Applications of Artificial Intelligence in Engineering V: Design, CMP/Springer-Verlag, Berlin, pp. 195-211.
Gero, J. S., Tham, K. W. and Lee, H. S. (1990). Building envelope design using design prototypes, ASHRAE Transactions, 96(2): 508-520.
Gero, J. S. and Rosenman, M. A. (1990). A conceptual framework for knowledge-based design research at Sydney University's Design Computing Unit, Artificial Intelligence in Engineering, 5(2): 65-77. (pdf)
Gero, J. S. and Maher, M. L. (1990). Guest editorial-artificial intelligence in design, AI Magazine, 11(4): 7.
Gero, J. S. (1990). Design prototypes: a knowledge representation schema for design, AI Magazine, 11(4): 26-36. (pdf) https://doi.org/10.1609/aimag.v11i4.854
1989
Gero, J. S. (ed.) (1989). Artificial Intelligence in Design, CMP/Springer-Verlag, Berlin, 556pp.
Gero, J. S. and Maher, M. L. (eds) (1989). Preprints Modeling Creativity and Knowledge-Based Creative Design, Design Computing Unit, Department of Architectural and Design Science, University of Sydney, Sydney, 363 pp.
Gero, J. S. and Oksala, T. (eds) (1989). Knowledge-Based Systems in Architecture, Acta Polytechnica Scandinavica, Helsinki, 143pp.
Gero, J. S. (1989). Prototypes: a basis for knowledge-based design, in J. S. Gero and T. Oksala (eds), Knowledge-Based Systems in Architecture, Acta Scandinavica, Helsinki, pp. 11-17.
Maher, M. L., Zhao, F. and Gero, J. S. (1989). Creativity in humans and computers, in J. S. Gero and T. Oksala (eds), Knowledge-Based Systems in Architecture, Acta Scandinavica, Helsinki, pp. 129-141.
Gero, J. S. (1989). Editorial - Knowledge-based systems in Australasia, Knowledge-Based Systems, 2(1): 3-4.
Gero, J. S. (1989). Routine and non-routine design: a prototype-based approach, Proceedings of the International Conference on Expert Systems in Engineering Applications, Huazhong University of Science and Technology Press, Wuhan, China, pp. 369-371.
Gero, J. S. (1989). Knowledge-based computer-aided design, in F. Kimura and A. Rolstadas (eds), Computer Applications in Production and Engineering, North-Holland, Amsterdam, pp. 13-20.
Gero, J. S. (1989). A locus for knowledge-based systems in CAAD education, in M. McCullough, W. Mitchell and P. Purcell (eds), CAAD Futures'89, Harvard College, Cambridge, unnumbered.
Gero, J. S. (1989). Expert systems for design, Proceeding of the International Conference on Expert Systems in Engineering Applications, Huazhong University of Science and Technology Press, Wuhan, China, pp. i-v.
Gero, J. S. and Rosenman, M. A. (1989). A conceptual framework for knowledge-based design research at Sydney University's Design Computing Unit, in J. S. Gero (ed.), Artificial Intelligence in Design, CMP/Springer-Verlag, Southampton and Berlin, pp. 361-380.
Gero, J. S., Rosenman, M. A. and Balachandran, M. (1989). The place of expert systems in civil engineering, Civil Engineering Systems 6(1&2): 11-20.
Maher, M. L., Zhao, F. and Gero, J. S. (1989). An approach to knowledge-based creative design, Preprints NSF Engineering Design Research Conference, University of Massachusetts, Amherst, pp. 333-346.
McLaughlin, S. and Gero, J. S. (1989). Requirements of a reasoning system to support creative design, Knowledge-Based Systems, 2(1): 62-71.
McLaughlin, S. and Gero, J. S. (1989). Creative processes-can they be automated, Preprints Modeling Creativity and Knowledge-Based Creative Design, Design Computing Unit, Department of Architectural and Design Science, University of Sydney, pp. 69-94.
Rosenman, M. A., Balachandran, M. and Gero, J. S. (1989). Prototype-based expert systems, in Gero, J. S. and Sudweeks, F. (eds), Expert Systems in Engineering, Architecture and Construction, University of Sydney, Sydney, pp. 179-199.
Rosenman, M. A. and Gero, J. S. (1989). Creativity in design using a prototype approach, Preprints Modeling Creativity and Knowledge-Based Creative Design, Design Computing Unit, Department of Architectural and Design Science, University of Sydney, pp. 207-232.
Rosenman, M. A., Gero, J. S., Postmus, A. and Tolhurst, S. (1989). Development and implementation of SOLAREXPERT-an expert system to aid the passive solar design of housing, Proceedings of the International Conference on Expert Systems in Engineering Applications, Huazhong University of Science and Technology Press, Wuhan, China, pp. 16-22.
Rosenman, M. A. and Gero, J. S. (1989). SOLAREXPERT - an expert system for evaluating passive solar energy designs, in B. H. V. Topping (ed.), Artificial Intelligence Techniques and Applications for Civil and Structural Engineers, Civil-Comp Press, Edinburgh, pp. 131-139.
Tzorbatzakis, E., Prince, R. G. H. and Gero, J. S. (1989). Optimal LPG station layout for planning permission using expert systems, CHEMECA-89, University of Queensland, Brisbane, pp. 345-352.
1988
Gero, J. S. (ed.) (1988). Artificial Intelligence in Engineering: Robotics and Processes, Elsevier/CMP, Amsterdam, 403pp.
Gero, J. S. (ed.) (1988). Artificial Intelligence in Engineering: Design, Elsevier/CMP, Amsterdam, 465pp.
Gero, J. S. (ed.) (1988). Artificial Intelligence in Engineering: Diagnosis and Learning, Elsevier/CMP, Amsterdam 421pp.
Gero, J. S. and Stanton, R. (eds) (1988). Artificial Intelligence Developments and Applications, North-Holland, Amsterdam, 363pp.
Radford, A. D. and Gero, J. S. (1988). Design by Optimization in Architecture and Building, Van Nostrand Reinhold, New York, 325pp.
Balachandran, M. and Gero, J. S. (1988). A model for knowledge-based graphical interfaces, in J. S. Gero and R. Stanton (eds), Artificial Intelligence Developments and Applications, North-Holland, Amsterdam, pp.147-163.
Gero, J. S. and Maher, M. L. (1988). A future role of knowledge-based systems in the design process, in T. Maver and H. Wagter (eds), CAAD'87 Futures, Elsevier, Amsterdam, pp. 81-90.
Balachandran, M. and Gero, J. S. (1988). Development of a knowledge-based system for structural optimization, in G. Rozvany and B. Karihaloo (eds), Structural Optimization, Kluwer, Dordrecht, pp. 17-24.
Balachandran, M. and Gero, J. S. (1988). A model for knowledge-based graphical interfaces, in J. S. Gero and R. Stanton (eds), Artificial Intelligence Developments and Applications, North-Holland, Amsterdam, pp. 147-163.
Gero, J. S. (1988). Expert systems in engineering design: the concept of prototypes and their application, in R. Hadgraft and W. Young (eds), Symposium on Knowledge-Based Systems in Civil Engineering, Monash University, Clayton, pp. 37-45.
Gero, J. S. (1988). Prototypes: A basis for knowledge-based design, in J. S. Gero and T. Oksala (eds), Symposium on Knowledge-Based Design in Architecture, Helsinki University of Technology, Otaniemi, pp. 3-8.
Gero, J. S. and Maher, M. L. (1988). Designing with prototypes, in V. Hubka, J. Baratossy and U. Pighini (eds), ICED88, Vol.1, Heurista, Zurich, pp. 74-81.
Gero, J. S. and Maher, M. L. (1988). A future role of knowledge-based systems in the design process, in T. Maver and H. Wagter (eds), CAAD'87 Futures, Elsevier, Amsterdam, pp. 81-90. (pdf)
Gero, J. S., Maher, M. L. and Zhang, W. (1988). Chunking structural design knowledge as prototypes, in J. S. Gero (ed.), Artificial Intelligence in Engineering: Design, Elsevier/CMP, Amsterdam, pp.3-21.
Maher, M. L., Zhao, F. and Gero, J. S. (1988). Creativity in humans and computers: a discussion of creativity in computer-aided architectural design, in J. S. Gero and T. Oksala (eds), Symposium on Knowledge-Based Design in Architecture, Helsinki University of Technology, Otaniemi, pp. 31-44.
Oxman, R. and Gero, J. S. (1988). Designing by prototype refinement in architecture, in J. S. Gero (ed.), Artificial Intelligence in Engineering: Design, Elsevier/CMP, Amsterdam, pp. 395-412.
Rosenman, M. A., Balachandran, M. and Gero, J. S. (1988). The place of expert systems in civil engineering, in R. Hadgraft and W. Young (eds), Symposium on Knowledge-Based Systems in Civil Engineering, Monash University, Clayton, pp. 19-36.
Rosenman, M. A, Gero, J. S., Tolhurst, S., Postmus, A. and Radford, A. D. (1988). SOLAREXPERT, an expert system for passive solar energy design in Housing-Stage I, in S. V. Szokolay (ed.), People and Technology-Sun, Climate and Building, University of Queensland, Brisbane, pp.121-128.
1987
Gero, J. S. (ed.) (1987). Expert Systems in Computer-Aided Design, North-Holland, Amsterdam, 533pp.
Gero, J. S. and Coyne, R. D. (1987). Knowledge-based planning as a design paradigm, in H. Yoshikawa (ed.), Design Theory in CAD, North-Holland, Amsterdam, pp. 289-323.
Coyne, R. D., Rosenman, M. A., Radford, A. D. and Gero, J. S. (1987). Innovation and creativity in knowledge-based CAD, in J. S. Gero (ed.), Expert Systems in Computer-Aided Design, North-Holland, Amsterdam, pp. 435-465. (pdf)
Balachandran, M. and Gero, J. S. (1987). Dimensioning of architectural floor plans under conflicting objectives, Environment and Planning B, 14: 29-37. (link)
Balachandran, M. and Gero, J. S. (1987). A knowledge-based approach to mathematical design modeling and optimization, Engineering Optimization, 12(2): 91-115. (link)
Balachandran, M. and Gero, J. S. (1987). Use of knowledge in selection and control of optimization algorithms, Engineering Optimization 12(2): 163-173. (link)
Balachandran, M. and Gero, J. S. (1987). A model for knowledge based graphical interfaces, AI'87: Proceedings of the Australian Joint Artificial Intelligence Conference, pp. 505-521.
Balachandran, M. and Gero, J. S. (1987). A knowledge-based graphical interface for structural design, in D. Sriram and R. Adey (eds), Applications of Artificial Intelligence in Engineering: Tools and Techniques, CMP, Southampton, pp. 335-346.
Gero, J. S. (1987). Editorial - Artificial intelligence and engineering optimization, Engineering Optimization, 12(2): 89-90. (link)
Hutchinson, P., Rosenman, M. A. and Gero, J. S. (1987). RETWALL: An expert system for the selection and preliminary design of earth retaining structures, Knowledge-Based Systems, 1(1): 11-23.
Gero, J. S. and Maher, M. L. (1987). Future roles of knowledge-based systems in the design process, in T. Maver and H. Wagter (eds), CAADFutures'87, Elsevier, Amsterdam, pp. 81-90. (pdf)
Mackenzie, C. A. and Gero, J. S. (1987). Learning design rules from decisions and performances, Artificial Intelligence in Engineering 2(1): 2-10. doi.org/10.1016/0954-1810(87)90065-3
McLaughlin, S. and Gero, J. S. (1987). Learning from characterised designs, in D. Sriram and R. Adey (eds), Applications of Artificial Intelligence in Engineering, CMP, Southampton, pp. 347-359.
McLaughlin, S. and Gero, J. S. (1987). Acquiring expert knowledge from characterised designs, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 1(2): 73-87.
Oxman, R. and Gero, J. S. (1987). Using an expert system for design diagnosis and design synthesis, Expert Systems, 4(1): 4-15. (pdf)
Rosenman, M. A., Gero, J. S., Coyne, R. D., Radford, A. D., Smither, P. R., Coates, D. and Tolhurst, S. (1987). SOLAREXPERT: a prototype expert system for passive solar energy design in housing, in T. Lee and S. Kaneff (eds), Solar'87-Creating the Future, Vol.II, Aust NZ Solar Energy Society, Canberra, pp. 361-370.
Gero, J. S. (1986). An overview of knowledge engineering and its relevance to CAAD, in A. Pipes (ed.), CAAD Futures, Butterworths, Guildford, pp. 107-119 (pdf)
Balachandran, M. and Gero, J. S. (1986). Knowledge-based design optimization, 1AAIC'86, pp. i:4:1-14.
1986
Balachandran, M. and Gero, J. S. (1986). Formulating and recognizing engineering optimization problems, Proceedings of the 10th ACMSM, pp. 223-228.
Coyne, R. D. and Gero, J. S. (1986). Expert systems that design, 1AAIC'86, pp. i:2:1-11.
Coyne, R. D. and Gero, J. S. (1986). Semantics and the organisation of knowledge in design, Design Computing, 1(1): 68-89. (pdf)
Gero, J. S. (1986). An overview of knowledge engineering and its relevance to CAAD, in A. Pipes (ed.), CAAD Futures, Butterworths, London, pp. 107-119. (pdf)
Gero, J. S. and Balachandran, M. (1986). Knowledge and design decision processes, in E. Sriram and R. Adey (eds), Applications of Artificial Intelligence to Engineering Problems, Springer-Verlag, Berlin, pp. 343-352.
Gero, J. S. and Coyne, R. D. (1986). Developments in expert systems for design synthesis, Expert Systems in Civil Engineering, ASCE, New York, pp. 193-203.
Gero, J. S., Murthy, N. S. H. and Radford, A. D. (1986). Multifunctional material design, Jnl Structural Divn, ASCE, 112(11): 2430-39.
Gero, J. S., Oxman, R. and Manago, C. (1986). Graphics and expert systems, AUSGRAPH86, pp. 25-29.
Mackenzie, C. and Gero, J. S. (1986). Learning in the domain of decisions and performances, 1AAIC'86, pp. i:1:1-9.
Radford, A. D., Rosenman, M. A., Coyne, R. D., Balachandran, M., Mackenzie, C. and Gero, J. S. (1986). Knowledge-based building design, Advanced Building Technology, Proceedings CIB86 Vol.1, pp. 93-102. (pdf)
Rosenman, M. A., Coyne, R. D. and Gero, J. S. (1986). Expert systems for design applications, Proceedings of the Second Australian Conference on Applications of Expert Systems, pp. 74-91.
Rosenman, M. A., Gero, J. S. and Oxman, R. (1986). An expert system for design codes and design rules, in D. Sriram and R. Adey (eds), Applications of Artificial Intelligence to Engineering Problems, Springer-Verlag, Berlin, pp. 745-758.
Rosenman, M. A., Manago, C. and Gero, J. S. (1986). A model-based expert system shell, 1AAIC'86, pp. i:1:1-9.
Rosenman, M. A., Gero, J. S., Hutchinson, P. J. and Oxman, R. (1986). Expert systems applications in computer-aided design, Knowledge Engineering and Computer Modelling in CAD, Butterworths, Guildford, pp. 218-225.
1971-1985
Gero, J. S. and Cowan, H. J. (1976). Design of Building Frames, Applied Science, London, 498pp. (link)
Gero, J. S. (ed.) (1977). Computer Applications in Architecture, Applied Science, London, 413pp. (link)
Gero, J. S. (ed.) (1985). Optimization in Computer-Aided Design, North-Holland, Amsterdam, 373 pp. (link)
Gero, J. S. (ed.) (1985). Design Optimization, Academic Press, New York, 298pp.(pdf)
Gero, J. S. (ed.) (1985). Knowledge Engineering in Computer-Aided Design, North-Holland, Amsterdam, 425pp. (link)
Gero, J. S. (1985). The use of Prolog in computer-aided design, in S. A. Scrivener (ed.), Computer-Aided Design and Manufacture, Pergamon Infotech, Maidenhead, pp. 11-24.
Gero, J. S. (1975). Australia, in N. Negroponte (ed.), Computer Aids to Design and Architecture, Petrocelli/Charter, New York, pp.201-206.
Gero, J. S. (1974). Ethics in computer-aided design-a polemic, in W. Spillers (ed.), Basic Questions in Design Theory, North-Holland, Amsterdam, pp. 196-203.
Gero, J. S. (1973). A system for computer-aided design in architecture, in J. Vlietstra and R. F. Wielinga (eds), Principles of Computer-Aided Design, North-Holland, Amsterdam, pp. 309-326.
Gero, J. S. and Julian, W. G. (1975). Interaction in the planning of buildings, in C. Eastman (ed.), Spatial Synthesis in Computer Aided Building Design, Applied Sciences, London, pp.184-229.
Gero, J. S. and Oguntade, O. O. (1979). Towards a development of fuzzy evaluator linguistic variables in CAAD, in W. W. Gasparski and D. Miller (eds), Projektowanie i Systemy (Designing and Systems) (in Polish), Wroclaw, Ossolineum, pp. 41-50.
Gero, J. S., Radford, A. D., Coyne, R. D. and Akiner, V. T. (1985). Knowledge engineering in computer-aided architectural design, in J. S. Gero (ed.), Knowledge Engineering in Computer-Aided Design, North-Holland, Amsterdam, pp. 57-81.
Radford, A. D. and Gero, J. S. (1985). Multicriteria optimization for architectural design, in J. S. Gero (ed.), Design Optimization, Academic Press, New York, pp. 229-258.
Radford, A. D., Gero, J. S., Rosenman, M. A. and Balachandran, M. (1985). Pareto optimization as a computer-aided design tool, in J. S. Gero (ed.), Optimization in Computer-Aided Design, North-Holland, Amsterdam, pp. 47-69.
Radford, A. D. and Gero, J. S. (1980). Tradeoff diagrams for the integrated design of the physical environment in buildings, in H. J. Cowan (ed.), Solar Energy Applications, Applied Science, London, pp. 197-223.
Rosenman, M. A. and Gero, J. S. (1985). A system for integrated optimal design, in J. Gero (ed.), Design Optimization, Academic Press, New York, pp. 259-294.
Balachandran, M. and Gero, J. S. (1985). The noninferior set estimation method for three objectives, Engineering Optimization, 9(2): 77-88. (link)
Balachandran, M. and Gero, J. S. (1984). A comparison of three methods for generating the Pareto optimal set, Engineering Optimization, 7(4): 319-336. (pdf)
Cornell, D. and Gero, J. S. (1981). Objects as surfaces not lines: the impact of colour raster graphics, Computers in Engineering, IEAust, Canberra, pp. 74-78.
Coyne, R. D. and Gero, J. S. (1985). Design knowledge and sequential plans, Environment and Planning B, 12: 401-418. (pdf)
Coyne, R. D. and Gero, J. S. (1985). Design knowledge and context, Environment and Planning B, 12: 419-442. (pdf)
D'Cruz, N., Radford, A. D. and Gero, J. S. (1983). A Pareto optimization formulation for building performance and design, Engineering Optimization, 7(1): 17-33. (link)
Gero, J. S. (1985). Knowledge engineering and expert systems-an introduction, National Engineering Conference, IEAust, pp. 200-205.
Gero, J. S. (1985). Expert systems in design and analysis, National Engineering Conference, IEAust, pp. 211-217.
Gero, J. S. (1985). Guest editorial-special issue on knowledge engineering and expert systems, Architectural Science Review, 28(4): 85-87.
Gero, J. S. (1985). Guest editorial - special issue on expert systems in CAD, Computer-Aided Design, 17(9): 396-398.
Gero, J. S. (1984). Future CAD Systems, 2nd European CAD/CAM Conference, Oyez, London, pp. 1-14.
Gero, J. S. (1984). Object modelling through knowledge engineering, Utilization of Artificial Intelligence and Pattern Recognition in Manufacturing Engineering, CIRP, Tokyo, pp. 19-25.
Gero, J. S. (1983). Knowledge engineering - future uses of computers in engineering, Computers and Engineering, IEAust, pp. 159-162.
Gero, J. S. (1983). Computer-aided architectural design-past, present, future, Architectural Science Review 26(1): 2-5.
Gero, J. S. (1982). A self-checking database for the Australian Building Code, CAD82, Butterworths, Guildford, pp. 119-125.
Gero, J. S. (1982). Hardware and software trends for CAD, '82 CAD/CAM International Seminar, FACE, Tokyo, pp. 33-38.
Gero, J. S. (1982). Designing optimal multi-functional surface materials, 8th Australasian Conference on Mechanics of Structures and Materials, Newcastle University, Newcastle, pp. 31: 1-7.
Gero, J. S. (1981). Guest editorial-design optimization, Computer-Aided Design, 13(5): 251 and 13(6): 315.
Gero, J. S. (1980). Computer aided design by optimization in architecture, Design Studies, 1(4): 227-230.
Gero, J. S. (1980). The Diploma in Architectural Computing at the University of Sydney, CAD80, IPC Press, Guildford, pp. 293-296.
Gero, J. S. (1979). Design by optimization and beyond, PArC 79, AMK Berlin, pp. 393-401.
Gero, J. S. (1978). Computer aided dimensioning of architectural plans, CAD78, IPC Press, Guildford, pp. 482-494.
Gero, J. S. (1978). Computer applications in architecture, ACS-8, 1: 450-467.
Gero, J. S. (1977). Note on `Synthesis and Optimization of Small Rectangular Floor Plans' of Mitchell, Steadman and Liggett, Environment and Planning B, 4: 81-88. (pdf)
Gero, J. S. (1977). Computers and building, Building Science Forum, Sydney, pp.1-13.
Gero, J. S. (1977). The design of cable network structures, 2nd Conference on Steel Developments, AISC, Sydney, pp. 129-134.
Gero, J. S. (1977). A design method for cable network structures, IASS Conference on Lightweight Shell and Space Structures, MIR Publishers, Moscow, pp.84-94.
Gero, J. S. (1976). Specifications by computer, Architectural Science Review 19(1): 10-13.
Gero, J. S. (1976). Guest editorial - computers in Architectural Science, Architectural Science Review 19(1): 2.
Gero, J. S. (1976). Dynamic programming in the CAD of buildings, in G. W. Jones and D. R. Smith (eds), CAD76, IPC Press, Guildford, pp. 31-37.
Gero, J. S. (1976). Some aspects of the behaviour of cable network structures, Civil Engineering Transactions, IEAust CE18(2): 92-97.
Gero, J. S. (1976). The preliminary design of cable network structures, Bulletin IASS, XVII(62): 7-18 (December).
Gero, J. S. (1975). Architectural optimization-a review, Engineering Optimization, 1(3): 189-199. (link)
Gero, J. S. (1975). Dynamic programming in architecture, Models for Modern Management, ASOR, Sydney, pp.127-147.
Gero, J. S. (1975). The behaviour of cable network structures, in W. J. Supple (ed.), 2nd International Conference on Space Structures, University of Surrey, England, pp. 368-378.
Gero, J. S. (1975) Ethics in computer-aided design: A polemic, ACM SIGDA Newsletter, 5(4): 9-14. (pdf)
Gero, J. S. (1974). Guest editorial - computer applications in architecture, DMG-DRS Journal, 8(4): 181-182.
Gero, J. S. (1974). Structural model analysis of a 65 storey office building, Planning and Design of Tall Buildings, Vanderbilt University, Nashville, pp. 129-144.
Gero, J. S. (1974). The behaviour of building structures under lateral load, in R. Aynsley and H. J. Cowan (eds), ANZ Conference on Planning and Design of Tall Buildings, ASCE, NY, pp. 544-569.
Gero, J. S. (1973). The application of operations research in architecture-a review, Proceedings of the National Conference of ASOR, Melbourne, pp. A4.1-11.
Gero, J. S. (1972). Computer-aided interactive site feasibility studies for architects and designers, ONLINE 72, Brunel University, Uxbridge, pp. 857-877.
Gero, J. S. (1972). The work of the Computer Applications Research Section of the Department of Architectural Science, Sydney University, Architectural Science Review 15(3): 58-63.
Gero, J. S., Akiner, V. T. and Radford, A. D. (1983). What's what and what's where-knowledge engineering in the representation of buildings by computer, PARC83, Online, Middlesex, pp. 205-215.
Gero, J. S. and Balachandran, M. (1985). A comparison of procedural and declarative programming languages for the computation of Pareto optimal solutions, Engineering Optimization, 9(2): 131-142. (link)
Gero, J. S. and Brown, M. (1971). Building regulations, Architectural Science Review, 14(3): 70-72.
Gero, J. S., Cornell, D. and Sambura, A. (1984). Icon-driven interfaces for drafting systems, GRAPHICS84, Online, Pinner, pp. 131-140.
Gero, J. S. and Cowan, H. J. (1972). Feasibility structural model analysis of the `Centrepoint' Tower, Sydney, Australian Structural Models Conference, C&CA, Sydney, pp. gc1-10.
Gero, J. S. and Coyne, R. D. (1985). Logic programming as a means of representing semantics in design languages, Environment and Planning B, 12: 351-369. (link)
Gero, J. S. and Coyne, R. D. (1984). The place of expert systems in architecture, CAD84, Butterworths, Guildford, pp. 529-546.
Gero, J. S. and Dudnik, E. E. (1978). Uncertainty and the design of building subsystems-a dynamic programming approach, Building and Environment, 13: 147-152. (link)
Gero, J. S. and Forwood, B. (1971). Computer-aided design and analysis of elevators, Architectural Science Review 14(2): 41-47.
Gero, J. S. and James, I. (1972). An experiment in a computer-aided constraint-oriented approach to the design of home units, in W. Mitchell (ed.), Environmental Design and Research, UCLA Regents, pp. 20.1.1-10.
Gero, J. S. and Julian, W. (1977). High level non-graphical interaction in computer-aided design, in J. J. Allan (ed.), CAD Systems, North-Holland, Amsterdam, pp. 241-266.
Gero, J, S, Julian, W and Homes, W. N. (1974). Interaction, interfaces and design, Proceedings of the 11th Workshop on Design Automation, ACM, pp. 248 - 256. (pdf)
Gero, J. S. and Kaneshalingam, K. (1980). Truss design by topology optimization, 7th Australasian Conference on Mechanics of Structures and Materials, University of Western Australia, Perth, pp. 116-123.
Gero, J. S. and Kaneshalingam, K. (1978). A method for the optimum design of traditional formwork, Engineering Optimization, 3(4): 249-251. (link)
Gero, J. S. and Khan, M. H. (1972). Comparison of physical and theoretical models of a continuous curved, spine girder bridge, Australian Structural Models Conference, C&CA, Sydney, pp. gk-1-6.
Gero, J. S. and A. Marmot (1974). Modelling elevator lobbies, Building Science, 9(4): 277-288.
Gero, J. S., Oguntade, O. and Volfneuk, M. (1979). Imprecision and fuzzy sets in architecture, ASOR, Melbourne, pp. 71-83.
Gero, J. S. and Radford, A. D. (1978). A dynamic programming approach to the optimum lighting problem, Engineering Optimization, 3(2): 71-82. (pdf)
Gero, J. S. and Radford, A. D. (1985). Towards generative expert systems for architectural detailing, Computer-Aided Design, 17(9): 428-435.
Gero, J. S. and Radford, A. D. (1983). Knowledge engineering and computer graphics, GRAPHICS83, ACGA, pp. 140-143.
Gero, J. S. and Radford, A. D. (1982). The place of multicriteria optimization in design, Design Policy, Design Council, London.
Gero, J. S. and Radford, A. D. (1981). The `design' in computer-aided design, Computing in Civil Engineering, ASCE, New York, pp. 876-890.
Gero, J. S. and Radford, A. D. (1980). Decision making using optimization in CAD, CAD/CAM in the 80's, ACADS, Melbourne, pp. 51-57.
Gero, J. S., Radford, A. D. and Cameron, J. (1978). Postoptimality analysis of multi-attributive objective functions in dynamic programming, Engineering Optimization, 4(2): 65-72. (link)
Gero, J. S., Radford, A. D. and D'Cruz, N. (1984). Energy conservative design in context: use of multicriteria decision methods, in H. J. Cowan (ed.), Energy Conservation in the Design of Multistorey Buildings, Pergamon, London, pp. 75-89.
Gero, J. S., Radford, A. D. and D'Cruz, N. (1983). Energy in context-a multicriteria model for building design, Building and Environment, 18(3): 99-107.
Gero, J. S., Radford, A. D. and Hung, P. (1983). A practical computer design aid for the design of one-way concrete floor slabs based on tradeoff diagrams, Computers and Engineering, IEAust, Canberra, pp. 1-5.
Gero, J. S., Radford, A. D. and Murthy, N. (1982). What if? Exploring the consequences of design and performance decisions in computer-aided design, CAD82, Butterworths, Guildford, pp. 633-645.
Gero, J. S., Rosenman, M. A. and Alexander, P. M. (1971). Feasibility structural model analysis of a 700 ft high tourist and tele-communications tower, in M. L. Meyer (ed.), Experimental Stress Analysis and Its Influence on Design, Institute of Mechanical Engineers, London, pp. 21-35.
Gero, J. S. and Sambura, A. (1983). Knowledge based drafting systems, GRAPHICS83, ACGA, pp. 29-31.
Gero, J. S., Sambura, A., Cornell, D. Deane, D., Gollan A. and Hair, N. (1984). An example of a new generation industry-specific modelling and drafting system, AUSGRAPH84, ACGA, Melbourne, pp. 129-134.
Gero, J. S., Sheehan, P. and Becker, J. (1978). Building design using feedforward nonserial dynamic programming, Engineering Optimization, 3(4): 183-197. (pdf)
Gero, J. S. and To, E. M. (1975). Preliminary studies of a cabled water tower, Building Science, 10: 249-261.
Gero, J. S. and Volfneuk, M. (1980). Building fuzzy CAD systems, CAD80, IPC Press, Guildford, pp. 74-79.
Murthy, N. S. H., Radford, A. D. and Gero, J. S. (1985). Computer-aided decision-making for multiobjective problems, COMPINT85, IEEE, pp. 212-216.
Oguntade, O. and Gero, J. S. (1983). Architectural complexity and contradiction: a fuzzy set theoretic basis and viewpoint, Design Studies 4(4): 202-207.
Oguntade, O. and Gero, J. S. (1981). Evaluation of architectural design profiles using fuzzy sets, Fuzzy Sets and Systems, 5: 221-234. (pdf)
Plume, J. and Gero, J. S. (1979). Interactive drafting utilizing database concepts, Computer Graphics and Spatial Analysis, IEAust, pp. 167-171.
Plume, J. and Gero, J. S. (1978). An interactive architectural draughting system, Computers in Engineering, IEAust, pp.15-20.
Radford, A. D. and Gero, J. S. (1980). Tradeoff diagrams for the integrated design of the physical environment, Building and Environment, 15: 3-15. (link)
Radford, A. D. and Gero, J. S. (1980). Quantized feedforward and feedback information for dynamic programming problems, Engineering Optimization, 4(4): 227-228. (link)
Radford, A. D. and Gero, J. S. (1980). On optimization in computer-aided architectural design, Building and Environment, 15(2): 73-80. (link)
Radford, A. D. and Gero, J. S. (1979). Optimization for information in integrated environmental design, PArC 79, AMK Berlin, pp. 447-456.
Radford, A. D. and Gero, J. S. (1979). A new method for environmental design using optimization concepts, ASOR, Melbourne, pp. 178-187.
Radford, A. D. and Gero, J. S. (1978). On the optimal design of windows, Environment and Planning B 6(1): 41-45. (link)
Radford, A. D., Hung, P. and Gero, J. S. (1984). New rules of thumb from computer-aided structural design-acquiring knowledge for expert systems, CAD84, Butterworths, Guildford, pp. 558-566.
Rosenman, M. and Gero, J. S. (1985). Reducing Pareto optimal sets, Engineering Optimization, 8(3): 189-206. (link)
Rosenman, M. A. and Gero, J. S. (1985). Design codes as expert systems, Computer-Aided Design, 17(9): 399-409. https://doi.org/10.1016/0010-4485(85)90287-8
Rosenman, M. A. and Gero, J. S. (1983). Pareto optimal serial dynamic programming, Engineering Optimization, 6(4): 177-183. (link)
Rosenman, M. A. and Gero, J. S. (1980). A system for integrated design-SID, CAD80, IPC Press, Guildford, pp. 691-704.
Rosenman, M. A. and Gero, J. S. (1980). Heuristic nonserial dynamic programming for large problems, Engineering Optimization, 4(4): 167-178. (link)
Rosenman, M. A. and Gero, J. S. (1979). A dynamic programming algorithm for large nonserial problem, ASOR, Melbourne, pp. 218-245.
Rosenman, M. A., Radford, A. D. and Gero, J. S. (1980). Postoptimality analysis in dynamic programming, Engineering Optimization, 4(4): 207-214. (link)
Sambura, A. and Gero, J. S. (1983). Framework for a computer integrated design environment, in K. Bo (ed.), CAD Systems Frameworks, North-Holland, Amsterdam, pp. 215-315.
1966-1970
Cowan H. J., Gero, J. S., Ding, G. D. and Muncey, R. W. (1968). Models in Architecture, Elsevier, London, 228pp. (link)
Gero, J. S. (1967). The Analysis of cable networks using an iteration technique, Architectural Science Review 10(1): 2-5.
Gero, J. S. (1967). Teaching of building materials, Architectural Science Review 10(3): 89-93.
Gero, J. S. (1967). Pneumatic structures constrained by networks, in D. Feder (ed.), First International Colloquium on Pneumatic Structures, IASS and Stuttgart University, Stuttgart, pp.134-138.
Gero, J. S. (1969). Operations research and engineering design: a review, Architectural Science Review 12(3): 67-77.
Gero, J. S. (1969). Prestressed masonry, Building Forum 1(1): 15-19.
Gero, J. S. (1969). Discussion: fabrication and tests of structural models, Proceedings of the ASCE 95(ST3): 501-503.
Gero, J. S. (1969). Computer-aided design of framed structures: a system for architecture students, Architectural Science Review 12(1): 8-11.
Gero, J. S. and Cowan, H. J. (1970). Structural concrete models, Models for Concrete Structures, ACI, Detroit, pp. 352-382.
Gero, J. S., D. G. Ding and H. J. Cowan (1966). Research in space structures, in R. M. Davies (ed.), Space Structures, Blackwell, Oxford, pp. 405-415
Gero, J. S. and Krone, K. (1970). A comparative investigation of prefabricated flooring systems, Building Forum 1(4): 98-110.
Gero, J. S., Smith, P. R. Pohl, J. G. and Cowan, H. J. (1968). Economic potential of physical model analysis in engineering, Build International 1(3): 16-21 (also translated into French).