Publications

Publications

See my google scholar profile and  see some of my publications indexed in DBLP database

My ORCID number is 0000-0002-3095-7714

Several of my publications can be downloaded from my  ResearchGate and Academia profiles.

Under Review

(Journal submissions)

• Zainab Alalawi, Paolo Bova, Theodor Cimpeanu, Alessandro Di Stefano, Manh Hong Duong, Elias Fernandez Domingos, The Anh Han, Marcus Krellner, Bianca Ogbo, Simon T. Powers, Filippo Zimmaro. Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation. (Arxiv) 

• Yuyuan Liu, Shijia Hua, Lichen Wang, Ruqiang Guo, Linjie Liu, Liang Zhang, and The Anh Han. Evolution of trust in the N-player trust game with transformation incentive mechanism. (Submitted)

• Manh Hong Duong, Calina Durbac and The Anh Han. Cost optimisation of individual-based institutional reward incentives for promoting cooperation in finite populations. (Submitted) (Arxiv) 

• Marcus Krellner and The Anh Han. Words are not Wind - How Joint Commitment and Reputation Solve Social Dilemmas, without Repeated Interactions or Enforcement by Third Parties. (Arxiv)

• Tim Booker, Manuel Miranda, Jesus A. Moreno Lopez, Jose Maria, Ramos Fernandez, Max Reddel, Valeria Widler, Filippo Zimmaro, Alberto Antonioni, The Anh Han.  Discriminatory or Samaritan -- which AI is needed for humanity? An   Evolutionary Game Theory Analysis of Hybrid Human-AI populations. (Arxiv)

• Manh Hong Duong and The Anh Han. Random evolutionary games and random polynomials.  (Arxiv) 

• Marcus Krellner and The Anh Han. We both think you did wrong - How agreement shapes and is shaped by indirect reciprocity. (Arxiv) 

• Paolo Bova, Alessandro Di Stefano and  The Anh Han. Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety. (Arxiv) 

• Theodor Cimpeanu, Luis Moniz Pereira and The Anh Han. Co-evolution of Social and Non-Social Guilt. (Arixv) 

• Xinglong Qu, Shun Kurokawa and The Anh Han. Social cohesion V.S. task cohesion: An evolutionary game theory study.  (Submitted) (Arxiv)

(Non-blind-review conference submissions)

2024

• Lucas Flores and The Anh Han. Evolution of commitment in the spatial Public Goods Game through institutional incentives. Applied Mathematics and Computation. [OPEN ACCESS]  (Arxiv)

• L. Chen, C. Deng, M. H. Duong, and  The Anh Han. Statistics of the number of equilibria of the replicator-mutator dynamics for noisy social dilemmas. Chaos, Solitons and Fractals. 2024 (Open Access)  (Arxiv)

• Simon T. Powers, Olena Linnyk, Michael Guckert, Jennifer Hannig, Jeremy Pitt, Neil Urquhart, Aniko Ekart, Nils Gumpfer, The Anh Han, Peter R. Lewis, Stephen Marsh, Tim Weber. The stuff we swim in: Regulation alone will not lead to justifiable trust in AI. IEEE Technology and Society Magazine. Volume: 42, Issue: 4, December 2023 (DOI: 10.1109/MTS.2023.3341463)

• Ndidi Bianca Ogbo and The Anh Han. Coordination Dynamics in Technology Adoption – Lessons from an Evolutionary Game Theoretical Analysis. Book chapter"Multisector Insights in Healthcare, Social Sciences, Society, and Technology". 32 pages. DOI: 10.4018/979-8-3693-3226-9.ch016. IGI Global Press.  (In Press)

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2023

• Manh Hong Duong, Calina Durbac and The Anh Han. Cost optimisation of hybrid institutional incentives for promoting cooperation in finite populations.  Journal of Mathematical Biology. Journal of Mathematical Biology, 87, 77 (2023). https://doi.org/10.1007/s00285-023-02011-6

• Marcus Krellner and The Anh Han.  The Importance of Commitment for Stable Cooperation. Physics of Life Reviews, 2023. (Comment on “Reputation and Reciprocity” by C. Xia et al.). 

• Theodor Cimpeanu, Francisco C. Santos and The Anh Han. Does Spending More Always Ensure Higher Cooperation? An Analysis of Institutional Incentives on Heterogeneous Networks. Dynamic Games and Applications, 2023. DOI: https://doi.org/10.1007/s13235-023-00502-1 (OPEN ACCESS)  

• Theodor Cimpeanu, Alessandro Di Stefano, Cedric Perret and The Anh Han. Social Diversity Reduces the Complexity and Cost of Fostering Fairness. Chaos, Solitons and Fractals , vol. 167 , 113051. 

•   Theodor Cimpeanu, L. M. Pereira and The Anh Han. Co-evolution of social and non-social guilt in structured populations.  AAMAS 2023 (Accepted) 

• Stephen Richard Varey, Alessandro Di Stefano and The Anh Han. KERAIA: A knowledge engineering and reference AI Architecture. 9th International Congress on Information and Communication Technology. Springer. (Accepted) 

• M A Hossain, Naeimeh Nourmohammadi, Julius Hossain, M Hoque Tania, T A Han, D Pandit, S Joneidy and M M Hasan. An Explainable AI Tool for Operational Risks Evaluation of AI Systems for SMEs. 15th IEEE International Conference on Software, Knowledge, Information Management & Application (SKIMA 2023). IEEE. Accepted   

• Paolo Bova, Alessandro Di Stefano and  The Anh Han. Both eyes open: Vigilant Incentives help Regulatory Markets improve AI Safety.  STAI23 Workshop on Safe and Trustworthy AI. (Accepted) (Arxiv) 

• Alessandro Di Stefano, Chrisina Jayne, Claudio Angione, The Anh Han. Recognition of Behavioural Intention in Repeated Games using Machine Learning.  ALIFE 2023,  (Abstract and PDF)

• The Anh Han. To Comply or Not: A Social Dynamics Analysis of Institutional Reward and Punishment for Commitment Compliance. ALIFE 2023, (Open Access)  (Recording at ALIFE) 

• Paolo Bova, Alessandro Di Stefano and The Anh Han. A tale of two Regulatory Markets: the role of institutional incentives in supporting sustainable Regulatory Markets for future AI systems.  ALIFE 2023, (Open Access) (Recording at ALIFE)

• Manh Hong Duong, Calina M. Durbac and The Anh Han. Optimisation of hybrid institutional incentives for cooperation in finite populations.  ALIFE 2023, (Open Access)  

• Marcus Krellner and The Anh Han. We both think you did wrong - How agreement shapes and is shaped by indirect reciprocity. EDAI 2023 workshop: Evolutionary Dynamics in social, cooperative and hybrid AI @ECAI 2023, Krakow, September 2023

• Paolo Bova, The Anh Han and Alessandro Di Stefano. A comparison of Adversarial and Vigilant incentives for promoting high-quality AI auditing. EDAI 2023 workshop: Evolutionary Dynamics in social, cooperative and hybrid AI @ECAI 2023, Krakow, September 2023

• Tim Booker, Manuel Miranda, Jesús A. Moreno López, José Maria Ramos Fernández, Max Reddel, Valeria Widler, Filippo Zimmaro, Alberto Antonioni and The Anh Han. Emergence of Cooperation in the one-shot Prisoner’s Dilemma through Discriminatory and Samaritan AIs. EDAI 2023 workshop: Evolutionary Dynamics in social, cooperative and hybrid AI @ECAI 2023, Krakow, September 2023

2022

• The Anh Han. Emergent Behaviours in Multi-Agent Systems with Evolutionary Game Theory. AI Communications journal,  vol. 35, no. 4, pp. 327-337, 2022 (Special issue: Multi-agent systems research in the UK). (Arxiv) 

• Sandeep Dhakal, Raymond Chiong, Manuel Chica, The Anh Han. Evolution of cooperation and trust in an N-player social dilemma game with tags for migration decisions. Royal Society Open Science, 9:212000, 2022.  (Open Access) [Code download]

• The Anh Han. Institutional Incentives for the Evolution of Committed Cooperation: Ensuring Participation is as Important as Enhancing Compliance. Journal of the Royal Society Interface. 19: 20220036, 2022  (DOI)  (Press Release) 

• The Anh Han,  T. Lenaerts, F. C. Santos, and L. M. Pereira. Voluntary safety commitments provide an escape from over-regulation in AI development.   Technology in Society, Volume 68, February 2022, 101843.

• Theodor Cimpeanu, F. C. Santos, L. M. Pereira, T. Lenaerts and The Anh Han. Artificial Intelligence Development Races in Heterogeneous Settings. Scientific Reports 12 (1723), 2022.

• L. M. Pereira, The Anh Han,  and António Barata Lopes. Employing AI to better understand our morals. Entropy 2022, 24(1), 10; (DOI) 

• The Anh Han. Lý thuyết trò chơi tiến hóa: toán học trong quá trình tiến hóa và các hành vi tập thể. (In Vietnamese). Vol 26, Number 1, Pages 22-30. THÔNG TIN TOÁN HỌC. Vietnam Mathematical Society, 2022.  (English Translation) 

• Ndidi Bianca Ogbo, Theodor Cimpeanu, Alessandro Di Stefano and The Anh Han. Shake on It: The Role of Commitments and the Evolution of Coordination in Networks of Technology Firms. ALIFE 2022, MIT Press. (Full paper). (Accepted) 

• The Anh Han, Francisco C. Santos, Luis Moniz Pereira and Lenaerts Tom. Voluntary safety pledges  overcome over-regulation dilemma in AI development: an evolutionary game analysis. ALIFE 2022, MIT Press. (Accepted) 

• Theodor Cimpeanu, Francisco C. Santos, Luís Moniz Pereira, Tom Lenaerts and The Anh Han. Network Diversity Promotes Safety Adoption in Swift Artificial Intelligence Development. ALIFE 2022, MIT Press. (Accepted)  

• Marcus Krellner and The Anh Han. The Last One Standing? - Recent Findings on the Feasibility of Indirect Reciprocity under Private Assessment.  ALIFE 2022, MIT Press. (Accepted)  

• Manh Hong Duong Duong and The Anh Han. Cost-efficiency of institutional reward and punishment in cooperation dilemmas. ALIFE 2022, MIT Press. (Accepted)  

• Ndidi Bianca Ogbo and The Anh Han. Arranging Pre-commitment to Enhance Coordination Among Firms Adopting Technology. Mathematical Models in Ecology and Evolution (MMEE 2022)  

• Marcus Krellner and The Anh Han. Feasibility of Indirect Reciprocity under Private Assessment. Mathematical Models in Ecology and Evolution (MMEE 2022)  

• Theodor Cimpeanu, The Anh Han and Francisco C. Santos.  Careless Incentives Lead to the Exploitation of Cooperators. Mathematical Models in Ecology and Evolution (MMEE 2022)  

• Manh Hong Duong and The Anh Han. The probability distribution of the number of equilibria in random replicator-mutator equations for social dilemmas. ABMHuB 2022 workshop  @ ALIFE 2022. (Accepted)  

• The Anh Han. An Evolutionary Game Theory Analysis of Institutional Incentives for Promoting Commitment Participation and Compliance.  CCS 2022. 

2021

• • Cedric Perret, Marcus Krellner and The Anh Han. The evolution of moral rules in a model of indirect reciprocity with private assessment. Scientific Reports. 11, Article number: 23581 (2021)  (Abstract and PDF)

  • Theodor Cimpeanu, Cedric Perret and The Anh Han. Cost-Efficient Interventions for Promoting Fairness in the Ultimatum Game. Knowledge-based Systems. 2021 https://doi.org/10.1016/j.knosys.2021.107545 (Abstract and PDF)  (Arxiv)  

  • Manh Hong Duong and The Anh Han. Cost efficiency of institutional incentives in finite populations. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2021 (OPEN ACCES)

  • Manh Hong Duong and The Anh Han. Statistics of the number of equilibria in random social dilemma evolutionary games with mutation. The European Physical Journal B.  94, 171 (2021). https://doi.org/10.1140/epjb/s10051-021-00181-0 (Abstract and PDF)  (Arxiv) 

  • Marcus Krellner and T. A. Han. Pleasing enhances Indirect Reciprocity based Cooperation under Private Assessment. Artificial Life Volume 27:3  (In Press) 

  • T. A. Han, Cedric Perret and Simon T. Powers. When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. Cognitive Systems Research journal Volume 68, Pages 111-124, August 2021  [Video recording by Simon Powers at ALIFE 2021] 

  • Sibilla Di Guida, The Anh Han, Georg Kirchsteiger, Tom Lenaerts, and Ioannis Zisis. Endogenous Repeated Cooperation and surplus Distribution - An Experimental Analysis. Games 2021, 12, 25.    (PDF)  https://doi.org/10.3390/g12010025  

  • T. A. Han, L. M. Pereira, T. Lenaerts and F. C. Santos. Mediating unsafe AI developments via Positive and Negative Incentives.  PLoS ONE 16(1): e0244592. https://doi.org/10.1371/journal.pone.0244592, 2021(OPEN ACCESS) (TheConversation article)

  • Bianca Ogbo Ndidi, Aiman Elragig and The Anh Han. Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments.  Adaptive Behavior journal  2021, DOI: 10.1177/1059712321993166   (PDF) (Online First)

  • Theodor Cimpeanu, Cedric Perret and The Anh Han. Promoting Fair Proposers, Fair Responders or Both? Cost-Efficient Interference in the Spatial Ultimatum Game. AAMAS 2021 (In Press)  

  •  T. A. Han, L. M. Pereira, F. C. Santos, T. Lenaerts, Time-scale Differences will Influence the Regulation Required in an Idealised AI Race Game , in Erdem, E.,  Helmert, M. (Eds.) Journal Track Procs.: 30th Intl. J. Conf. on Artificial Intelligence (IJCAI 2021), Montreal, Canada, August 21-26, virtual online, 2021.

  •  T. A. Han, L. M. Pereira, F. C. Santos, T. Lenaerts, Modelling and regulating safety compliance: Game theory lessons from AI development races analyses , in AISafety 2021 IJCAI workshop, Montreal, Canada, August 21-23, virtual online, 2021. (Recording talk)

  • Cedric Perret, Marcus Krellner and The Anh Han. The evolution of moral rules in a model of indirect reciprocity with private assessment. Conference on Complex Systems 2021 (CSS 2021), Lyon

  • The Anh Han, Tom Lenaerts, Francisco C. Santos and Luis Moniz Pereira. Voluntary safety commitments provide an escape from over-regulation in AI development.  Conference on Complex Systems 2021 (CSS 2021), Lyon

  • T. Cimpeanu, T. A. Han, F. C. Santos, L. M. Pereira,  T. Lenaerts, Heterogeneous Interactions in Artificial Intelligence Development Races.  Conference on Complex Systems 2021 (CSS 2021), Lyon

  • Manh Hong Duong and The Anh Han.  Statistics of equilibria points in pairwise social dilemmas under replicator-mutator dynamics.  Conference on Complex Systems 2021 (CSS 2021), Lyon

  • The Anh Han. Institutional incentives for commitment compliance and cooperation: encouragement for participation is as important as for compliance.  AMETHYST Satellite @ CCS 2021

  • The Anh Han, Cedric Perret and Simon T. Powers. An evolutionary game theory analysis of trust in repeated games and lessons for human-machine interactions. ALIFE 2021 (Accepted) 

  • The Anh Han, Francisco C. Santos, Luis Moniz Pereira and Tom Lenaerts. A regulation dilemma in Artificial Intelligence development. ALIFE 2021 (Accepted) 

  • Manh Hong Duong and The Anh Han. Institutional incentives for promotion of cooperation: a rigorous analysis. ABMHuB 2021 workshop @ALIFE 2021 (Accepted) 

2020

• • T. A. Han, L. M. Pereira, F. C. Santos and T. Lenaerts.  To Regulate or Not: A Social Dynamics Analysis of an Idealised AI Race. Vol 69, pages 881-921, Journal of Artificial Intelligence Research,  November 2020 (PDF and Abstract) (Press releases: Teesside University Press)  (TheConversation article)  

  • Hong Duong and The Anh Han. On equilibrium properties of the mutator-replicator equation in deterministic and random games.   Dynamics Games and Applications, 2020. (In memory of Chris Cannings) (Online First -- Open Access)  (Arxiv)  (Featured in Atlas of Science. PDF )

  • Zainab Alalawi, Yifeng Zeng, T. A. Han. Toward Understanding the Interplay between Public and Private Healthcare Providers and Patients: An Agent-based Simulation Approach. Industrial Networks and Intelligent Systems journal. Volume 7,  Issue 24, e4, doi:10.4108/eai.21-10-2020.166668, 2020   (PDF) 

  • Zainab Alalawi, The Anh Han, Yifeng Zeng. Evolution of Cooperation between Public and Private Healthcare Providers with Patients: An Agent-based Simulations Study.   The Second International Workshop on Agent-Based Modelling of Human Behaviour (ABMHuB 2020), co-located with ALIFE 2020 conference. (Accepted)

  • Markus Krellner and The Anh Han. Putting oneself in everybody's shoes - Pleasing enables indirect reciprocity under private assessment. ALIFE 2020: The 2020 Conference on Artificial Life, pages 402 - 410, July 2020, MIT Press 

  • Hong Duong and The Anh Han. The effect of mutation on equilibrium properties of deterministic and random evolutionary games. ALIFE 2020: The 2020 Conference on Artificial Life, July 2020, MIT Press

  • Theodor Cimpeanu and The Anh Han.  Making an Example: Signalling Threat in the Evolution of Cooperation.   IEEE Congress on Evolutionary Computation 2020. (Accepted)  (Arxiv) 

  • Theodor Cimpeanu and The Anh Han. Fear of Punishment Promotes the Emergence of Cooperation and Enhanced Social Welfare in Social Dilemmas. AAMAS 2020.  (Accepted) 

  • Hong Duong and The Anh Han. Complexity and behavioral diversity in evolving populations under uncertainty. Atlas of Science. PDF 

  • Ndidi Bianca Ogbo, Aiman Elgarig and The Anh Han. Evolution of Coordination in Pairwise and Multi-player Interactions via Prior Commitments. Conference on Complex Systems 2020. (Abstract). Accepted 

  • Marcus Krellner and The Anh Han. Pleasing can solve the problem of disagreement for indirect reciprocity. Conference on Complex Systems 2020. (Abstract). Accepted 

  • Theodor Cimpeanu, Cedric Perret and The Anh Han. Promoting Fairness in the Spatial Ultimatum Game. Conference on Complex Systems 2020. (Abstract). Accepted 

  • Zainab Alalawi, Yifeng Zeng and The Anh Han. Studying The Effect of Population Size on The Cooperation in Healthcare System. Conference on Complex Systems 2020. (Abstract). Accepted 

  • The Anh Han, Luis Moniz Pereira, Tom Lenaerts and Francisco Santos. Mediating Artificial Intelligence Developments through Negative and Positive Incentives. Conference on Complex Systems 2020. (Abstract). Accepted 

2019 

• • Qu Xinglong, Cao Zhigang, Yang Xiaoguang, T. A. Han. How group cohesion promotes the emergence of cooperation in public goods game under conditional dissociation?   Journal of Artificial Societies and Social Simulation 22 (3) 5, 2019, DOI: 10.18564/jasss.4070 (Open Access) 

  • Markus Krellner and The Anh Han. “Pleasing” can improve indirect reciprocity under the hard condition of private, noisy and incomplete information. Accepted at SOLSTICE

  • Bianca Ogbo Ndidi and The Anh Han.  Emergence of Coordination with Asymmetric Benefits via Prior Commitment. p.163-170, ALIFE 2019: The 2019 Conference on Artificial Life, Newcastle, UK, July 2019, MIT Press

  • Theodor Cimpeanu, The Anh Han and Francisco C. Santos.  Exogenous Rewards for Promoting Cooperation in Scale-Free Networks. p.316-323,  ALIFE 2019: The 2019 Conference on Artificial Life, Newcastle, UK, July 2019, MIT Press

  • Zainab Alalawi, The Anh Han, Yifeng Zeng and Aiman Elragig.  Pathways to Good Healthcare Services and Patient Satisfaction: An Evolutionary Game Theoretical Approach. p.135-142, ALIFE 2019: The 2019 Conference on Artificial Life, Newcastle, UK, July 2019, MIT Press

  • Hong Duong and The Anh Han.  On the Expected Number and Distribution of Equilibria in Multi-player Evolutionary Games. ALIFE 2019: The 2019 Conference on Artificial Life, Newcastle, UK, July 2019, MIT Press

  • The Anh Han, Long Tran-Thanh, Simon Lynch, Theodor Cimpeanu and Francisco C. Santos.  Promoting Cooperation through External Interference. ALIFE 2019: The 2019 Conference on Artificial Life, Newcastle, UK, July 2019, MIT Press

  • Opeoluwa Ladeinde, Mohammad Abdur Razzaque, The Anh Han. Using Automated State Space Planning for Effective Management of Visual Information and Learner’s Attention in Virtual Reality. IntelliSys 2019

  • T. A. Han,  L. M. Pereira,  T. Lenaerts.    Modelling and Influencing the AI Bidding War: A Research Agenda.  AAAI/ACM conference  AI, Ethics and Society, pages 5-11,  Honolulu, Hawaii, January 27-29, 2019.   Doi 10.1145/3306618.3314265

  • T. A. Han, L. M. Pereira, Evolutionary Machine Ethics Synopsis, invited paper in: Journal of the Japanese Society for Artificial Intelligence,  34(2) 2019.   (In Japanese) 

2018

• The Anh Han, Long Tran-Thanh. Cost-effective external interference for promoting the evolution of cooperation.   Nature  Scientific Reports 8, 15997 (2018).   (PDF) 

• Peter Andras, Lukas Esterle, Michael Guckert, The Anh Han, Peter R. Lewis, Kristina Milanovic, Terry Payne, Cedric Perret, Jeremy Pitt, Simon T. Powers, Neil Urquhart and Simon Wells. Trusting Intelligent Machines -- Deepening trust within socio-technical systems. IEEE Technology and Society Magazine,  Volume: 37 , Issue: 4 , Dec. 2018. 

• Manh Hong Duong, Hoang Minh Tran and The Anh Han. On the distribution of the number of internal equilibria in random evolutionary games. Journal of Mathematical Biology. OPEN ACCESS    (Arxiv)    (Featured in Atlas of Science. PDF )

• Manh Hong Duong, Hoang Minh Tran and The Anh Han. On the expected number of internal equilibria in random evolutionary games with correlated payoff matrix. Dynamics Games and Applications  OPEN ACCESS    (Arxiv) 

• T. A. Han, S. Lynch, Long Tranh-Thanh,  F. C. Santos. Fostering Cooperation in Structured Populations Through Local and Global Interference Strategies. Pages 289-295,  IJCAI-ECAI 2018. Stockholm, July 2018.

• T. A. Han and L. M. Pereira. Evolutionary Machine Ethics. in: O. Bendel (ed.), Handbuch Maschinenethik, Springer,  February 2018.  (Springer Online)

• Sibilla Di Guida, The Anh Han, Georg Kirchsteiger, Tom Lenaerts, and Ioannis Zisis. Endogenous Repeated Cooperation and surplus Distribution - An Experimental Analysis. BIFI 2018 Conference “Complexity, Networks & Collective Behavior”, Zaragoza (Spain) on 6-8 February 2018

2017

• Luis Martinez-Vaquer, T. A. Han., L. M. Pereira and T. Lenaerts. When agreement-accepting free-riders are a necessary evil for the evolution of cooperation. Nature Scientific Reports 7, Article number: 2478 (2017)   (Open Access)

• L. M. Pereira, T. Lenaerts, L. A. Martinez-Vaquero, T. A. Han.  Social manifestation of guilt leads to stable cooperation in multi-agent systems.  Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems  AAMAS 2017, pages 1422-1430 (Full paper)

• T. A. Han, L. M. Pereira, T. Lenaerts.  Commitment and participation in public goods games.  Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems,  AAMAS 2017, pages 1431-1432 (JAAMAS journaln track)

• Yifeng Zeng, Zhang Zhang, T. A. Han, Iain R. Spears, Shengchao Qin.  Using Intention Recognition in a Simulation Platform to Assess Physical Activity Levels of an Office Building.  Proc. of the 16th International Conference on Autonomous Agents and Multiagent Systems,  AAMAS 2017 , pages 1817-1819 (Demo track)

• T. A. Han, L. M. Pereira, L. A. Martinez-Vaquero, T. Lenaerts. Centralized vs. Personalized Commitments and their influence on Cooperation  in  Group Interactions.  In proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI 2017), pages 2999-3005, San Francisco, US.

• L. M. Pereira, T. Lenaerts, L. A. Martinez-Vaquero, T. A. Han, Evolutionary Game Theory Modelling of Guilt. In Procs. Symposium on Computational Modelling of Emotion: Theory and Applications (Accepted)

• T. Lenaerts, T. A. Han, L. M. Pereira, L. A. Martinez-Vaquero, When apology is sincere, cooperation evolves, even when mistakes occur frequently. In Procs. Symposium on Computational Modelling of Emotion: Theory and Applications (Accepted)

2016

• T. A. Han, L. M. Pereira and T. Lenaerts. Evolution of Commitment and Level of Participation in Public Goods Games. Journal of Autonomous Agents and Multi-Agent Systems, May 2017, Volume 31, Issue 3, pp 561–583  (DOI: 10.1007/s10458-016-9338-4) (Online First)  (Full text via Springer ShareIt)

• T. A. Han and T. Lenaerts. A synergy of costly punishment and commitment in cooperation dilemmas. Adaptive Behavior journal, 24(4) 237–248, 2016. (DOI: https://doi.org/10.1177/1059712316653451)

• Manh Hong Duong and T. A. Han. Analysis of the expected density of internal equilibria in random evolutionary multi-player multi-strategy games.   Journal of Mathematical Biology. 73(6), 1727-1760, 2016.  (DOI 10.1007/s00285-016-1010-8 )  (abstract)  

• Sibilla Di Guida, T. A. Han, Georg Kirchsteiger, Tom Lenaerts, and Ioannis Zisis. Endogenous Repeated Cooperation and surplus Distribution - An Experimental Analysis. CERP Working Paper series (SSRN )

• T. A. Han. Emergence of Social Punishment and Cooperation through Prior Commitments. In proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI 2016), pages 2494-2500, Phoenix, Arizona USA

• Luis Martinez-Vaquer, T. A. Han., L. M. Pereira and T. Lenaerts. Apology and forgiveness evolve to resolve failures in cooperative agreements.

• In proceedings of the 28th Annual Benelux Conference on Artificial Intelligence (BNAIC 2016).  November 10-11, 2016, Amsterdam.

• T. A. Han, L. M. Pereira and T. Lenaerts. Emergence of Cooperation in Group Interactions: Avoidance vs. Restriction.  AAAI Spring 2016 Symposium on Ethical and Moral Considerations in Non-Human Agents, March 21-23, 2016, Stanford University, Stanford, CA (USA)

• L. M. Pereira, T. A. Han, L. A. Martinez-Vaquero, T. Lenaerts, Guilt for Non-Humans.    AAAI Spring 2016 Symposium on Ethical and Moral Considerations in Non-Human Agents, March 21-23, 2016, Stanford University, Stanford, CA (USA)

• T. Lenaerts, L. A. Martinez-Vaquero, T. A. Han, L. M. Pereira.  Conditions for the Evolution of Apology and Forgiveness in Populations of Autonomous Agents.    AAAI Spring 2016 Symposium on Ethical and Moral Considerations in Non-Human Agents, March 21-23, 2016, Stanford University, Stanford, CA (USA)

• L. A. Martinez-Vaquero, T. A. Han, L. M. Pereira, T. Lenaerts, Forgiveness evolves to ensure cooperation in long-term agreements (abstract), 2016 Conference on Complex Systems (CCS), 19-22 September, Amsterdam, The Netherlands.

• Luis A. Martinez-Vaquero, T. A. Han, Luís Moniz Pereira, Tom Lenaerts. Forgiveness as a mean to resolve failures in cooperative agreements. Workshop on Multidisciplinary Applications of Evolutionary Game Theory, at Alife XV, Cancun, Mexico, July 4, 2016. 

• Ioannis Zisis, Sibilla Di Guida, T. A. Han, Georg Kirchsteiger, Tom Lenaerts. The anticipation game, behavioural experiments and evolutionary analysis. Workshop on Multidisciplinary Applications of Evolutionary Game Theory, at Alife XV, Cancun, Mexico, July 4, 2016.

2015

• T. A. Han. Towards unified characterization of cooperation mechanisms:  Comment on “Universal scaling for the dilemma strength in evolutionary games” by Z. Wang et al.  Physics of Life Reviews,  2015.         doi:10.1016/j.plrev.2015.06.006

• Ioannis Zisis, Sibilla Di Guida, T. A. Han, Georg Kirchsteiger, and Tom Lenaerts. Generosity motivated by acceptance - evolutionary analysis of an anticipation game. Nature Scientific Reports, 5 (18076), 2015 (PDF and Abstract)

• Luis Martinez-Vaquer, T. A. Han., L. M. Pereira and T. Lenaerts. Apology and forgiveness evolve to resolve failures in cooperative agreements. Nature Scientific Reports, 5:10639, doi:10.1038/srep10639    (PDF and Abstract)                                             (News release at Teesside university)        (News from VUB-AI Lab)       (Blog article by well-known author Michael McCullough)  (VUB Magazine)

• Manh Hong Duong and T. A. Han. On the expected number of equilibria in a  multi-player multi-strategy evolutionary game. Journal of Dynamic Games and Applications,  6(3), 324-346, September 2016, DOI: 10.1007/s13235-015-0148-0    (March 2015, Online First) (Arxiv)

• T. A. Han, F. C. Santos, T. Lenaerts and L. M. Pereira. Synergy between intention recognition and commitments in cooperation dilemmas. Nature Scientific Reports, 5 (9312), 2015, Open Access          (News release at Teesside university)      (News at AI Lab VUB)     (News release from Universidade Nova de Lisboa, Novalincs, FCTUNL)        (News at MLG, ULB Brussels) 

• T. A. Han, L. M. Pereira, F. C. Santos and T. Lenaerts. Emergence of Cooperation via Intention Recognition, Commitments and Apology. AI Communication Journal, vol. 28, no. 4, pp. 709-715, 2015, DOI: 10.3233/AIC-150672  (Abstract and PDF)

• T. A. Han and T. Lenaerts. The efficient interaction of costly punishment and commitment. Proc. of the International Conference on Autonomous Agents and Multiagent Systems, pages 1657-1658, AAMAS 2015

• T. A. Han, Long Tran-Thanh, Nicholas R. Jennings. The Cost of Interference in Evolving Multiagent Systems. Proc. of the International Conference on Autonomous Agents and Multiagent Systems, pages 1719-1720, AAMAS 2015

2014

• T. A. Han, L. M. Pereira and T. Lenaerts. Avoiding or Restricting Defectors in Public Goods Games?.  J. Royal Society Interface, December 24, 2014

  • DOI: 10.1098/rsif.2014.1203       (News release at Teesside university)

• D. Catteeuw, T. A. Han  and B. Manderick.  Evolution of Honest Communication through Social Punishment. In Proceedings of  the 2014 Genetic and Evolutionary Computation Conference (GECCO 2014), Pages 153-160, ACM, Vancouver, 12-16 July, 2014.

• T. A. Han, L. M. Pereira, T. Lenaerts and F. C. Santos. Learning to Recognize Intentions Resolves Cooperation dilemmas. Extended abstract at 23rd annual Belgian-Dutch Conference on Machine Learning (BENELEARN 2014), June 6, Brussels, Belgium.

• T. A. Han, L. M. Pereira, F. C. Santos, and T. Lenaerts, Evolution of Pairwise Commitment and Cooperation, abstract at European Conference on Complex Systems 2014 (ECSS'14), September 22-26, Lucca, Italy.

• T. A. Han, Long Tran-Thanh, Nicholas R. Jennings. The Cost of Interference in Evolving System. In Proceedings of the 17th International Workshop on Coordination, Organizations, Institutions and Norms (COIN 2014), at AAMAS 2014, May 5-9, Paris, 2014. 

  • An earlier version of this paper is also accepted for oral presentation at Norms, Actions and Games workshop (NAG 2014) in London, April 1-2, 2014.  

• L. M. Pereira, T. A. Han and F. C. Santos.  Complex Systems of Mindful Entities -- on Intention Recognition and Commitment, in: L. Magnani  (ed.), Model-Based Reasoning in Science and Technology: Theoretical and Cognitive Issues,  Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE) series, ISBN 978-3-642-37427-2, vol. 8, pp. 499-525, ISSN 2192-6255, Springer, 2014.

2013

• T. A. Han, L. M. Pereira, F. C. Santos and T. Lenaerts. Good agreements make good friends.  Nature Scientific Reports, 3:2695(2013), Nature Publishing Group. (Open Access)            (News releases: Knack magazine 20.11.2013 pag. 96;  VUB: Goede afspraken, goede vrienden; ULB:  Les bon comptes font les bons amis; UNL: news at FCT/UNL  and news at DI/FCT/UNL)

•  T. A. Han.   Intention Recognition, Commitments and Their Roles in the Evolution of Cooperation: From Artificial Intelligence Techniques to Evolutionary Game Theory Models. SAPERE, Vol. 9, 167 pages, Springer, April 2013. ISBN 978-3-642-37511-8. (Online and Abstract )  (Book Order)            

• T. A. Han and L. M. Pereira. Context-dependent Incremental Decision Making scrutinizing Intentions of Others via Bayesian Network Model Construction. Journal of Intelligent Decision Technologies (IDT),  7 (4), 293-317, 2013. (DOI 10.3233/IDT-130170) (Abstract)

• T. A. Han, L. M. Pereira, F. C. Santos and T. Lenaerts. Why is it so hard to say sorry?   Procs. of the 25th Benelux Conference on Artificial Intelligence (BNAIC 2013), November 7-8, Delft, The Netherlands, 2013.

• T. A. Han and L. M. Pereira. Intention-based decision making for strategic scenarios dynamics via Computational Logic. In Proceedings of 16th Portuguese conference on Artificial Intelligence (EPIA’2013),   September 9-12, 2013, Angra do Heroísmo, Açores, Portugal.            (Accepted)

• D. Catteeuw,  B. Manderick and T. A. Han. Evolutionary stability of honest signaling in finite populations.  In Proceedings of  the 2013 IEEE Congress on Evolutionary Computation (CEC 2013), IEEE Press, pages 2864 - 2870, Cancun, Mexico, 2013.                         

• T. A. Han, L. M. Pereira, F. C. Santos and T. Lenaerts. Why so hard to say sorry: evolution of apology with commitments in the iteratedPrisoner’s Dilemma. In Proceedings of the 23nd International Joint Conference on Artificial Intelligence (IJCAI’2013),  pages 177-183, AAAI Press, August 2013, Beijing, China     

• J-S. Lerat, T. A. Han and T. Lenaerts. Evolution of Common-Pool Resources and Social Welfare in Structured Populations. In Proceedings of the 23nd International Joint Conference on Artificial Intelligence (IJCAI’2013), pages 2848-2854, AAAI Press, August 2013, Beijing, China           

• T. A. Han and L. M. Pereira. State-of-the-Art of Intention Recognition and its Use in Decision Making -- A Research Summary. AI Communication Journal. IOS Press, 26(2):237-246, 2013. DOI 10.3233/AIC-130559 (Abstract).

• T. A. Han and L. M. Pereira.  Intention-based Decision Making and its Applications.  in: H. Guesgen, S. Marsland (eds.), Human Behavior Recognition Technologies: Intelligent Applications for Monitoring and Security, Chapter 9, pages 174-211, IGI Global, 2013 (DOI: 10.4018/978-1-4666-3682-8.ch009) (Abstract)

2012

• T. A. Han, L. M. Pereira and F. C. Santos. Corpus-based intention recognition in Cooperation Dilemmas.  Artificial Life journal. MIT Press, 18(4): 365-383, 2012 (Abstract).

• T. A. Han.   Intention Recognition, Commitments and Their Roles in the Evolution of Cooperation. PhD Thesis, Department of Informatics, Faculty of Sciences and Technologies, Universidade Nova de Lisboa, Portugal, May 2013. (FCT/UNL Resipotorio) 

• L. M. Pereira, T. A. Han and F. C. Santos.  Complex Systems of Mindful Entities -- on Intention Recognition and Commitment, in: L. Magnani  (ed.), Model-Based Reasoning in Science and Technology: Theoretical and Cognitive Issues,  Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE) series, Springer, forthcoming in 2013.

• T. A. Han, A. Traulsen and C. S. Gokhale.  On equilibrium properties of evolutionarymultiplayer games with random payoff matrices. Journal of Theoretical Population Biology. Elsevier, 81(4): 264-272, June 2012. (Abstract)  

• T. A. Han, L. M. Pereira and F. C. Santos. Intention Recognition, Commitment, and The Evolution of Cooperation. In Proceedings of  the 2012 IEEE Congress on Evolutionary Computation (CEC 2012), IEEE Press, pages 1-8, Brisbane, Australia, 2012. (Abstract)

• T. A. Han, L. M. Pereira and F. C. Santos. The Emergence of Commitments and Cooperation.  In Proceedings of the 11th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2012), ACM Proceedings, pages 559-566, Valencia, Spain, June 2012. (Abstract)

• T. A. Han, A. Saptawijaya and L. M. Pereira. Moral Reasoning Under Uncertainty.  In Proceedings of the 18th International Conference on Logic for Programming Artificial Intelligence and Reasoning (LPAR 2012), Lecture Note in Computer Science, Vol. 7180, pages 212-227, Merida, Venezuela (Abstract)

2011

• T. A. Han, L. M. Pereira and F. C. Santos. Intention Recognition Promotes the Emergence of Cooperation. Adaptive Behavior, 19(3): 264-279, August 201 (Abstract) 

• T. A. Han, L. M. Pereira and F. C. Santos. The role of intention recognition in the evolution of cooperative behavior. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI’2011), 1684-1689, AAAI Press, 16-22 July 2011, Barcelona, Spain.   (Abstract and PDF)

•  L. M. Pereira and T. A. Han.  Elder Care by means of Intention Recognition and Evolution Prospection. 18th International Conference on Applications of Declarative Programming and Knowledge Management, select extended papers, pages 170-187, Springer LNAI, 2011.  (Abstract)

• L. M. Pereira and T. A. Han.  Intention Recognition with Evolution Prospection and Causal Bayesian Networks. Computational Intelligence for Engineering Systems 3: Emergent Applications, pages 1-33, Springer, 2011. (Abstract)

• T. A. Han and L. M. Pereira. Intention-based decision making with evolution prospection. In Proceedings of 15th Portuguese conference on Artificial Intelligence (EPIA’2011), Springer LNAI 7026, pages 254-267, 10-13 October, Lisbon, Portugal.    (Abstract)

• T. A. Han and L. M. Pereira. Context-dependent incremental intention recognition through Bayesian networks model construction. In Proceedings of 8th Workshop on Bayesian Modeling Applications at conference “Uncertainty in Artificial Intelligence” (UAI’2011), CEUR Workshop Proceedings, 14 July, Barcelona, Spain.  Online: http://ceur-ws.org/Vol-818/paper7.pdf

• T. A. Han and L. M. Pereira. Corpus-based Incremental Intention Recognition via Bayesian networks model construction. In Proceedings of Goal, Plan and Activity Recognition Workshop at International Conference of Automated Planning and Scheduling (ICAPS 2011), pages 1-8, 14 July, Freiburg, Germany.  (Abstract)

2010

• T. A. Han and L. M. Pereira. Anytime Intention Recognition via Incremental Bayesian Network Reconstruction. AAAI Fall Symposium on Proactive Assistant Agents, pages 20-25, AAAI, 2010, Virginia, USA. (Abstract and PDF)

• T. A. Han and L. M. Pereira. Collective Intention Recognition and Elder Care. AAAI Fall Symposium on Proactive Assistant Agents (PAA 2010), pages 26-31, AAAI, 2010, Virginia, USA. (Abstract and PDF)

• T. A. Han and L. M. Pereira. Proactive Intention Recognition for Home Ambient Intelligence. IE 2010 Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI’10), Ambient Intelligence and Smart Environments Book Series, Vol. 8, pages 91-100, IOS Press, 2010, Kuala Lumpur, Malaysia. (Abstract)

• T. A. Han and N. C. Marques. Towards Encoding Background Knowledge with Temporal Extent into Neural Networks. 4th International Conference on Knowledge Science, Engineering and Management, pages 63-75, Springer LNCS 6291, 2010, UK.  (Abstract)

2009

• L. M. Pereira and T. A. Han. Evolution Prospection in Decision Making. Intelligent Decision Technologies, 3(3): 157–171, 2009. (Abstract)

• T. A. Han. Evolution Prospection with Intention Recognition via Computational Logic. Master Thesis - Technical University of  Dresden, Germany and Universidade Nova de Lisbon, Portugal, 2009

• T. A. Han, D. P. Carroline and C. V. Damasio.  Tabling for P-log probabilistic query evaluation. In In New Trends in Artificial Intelligence, 14th Portuguese Conference on Artificial Intelligence (EPIA’2009), pages 115-126, 2009, Evora, Portugal

• L. M. Pereira and T. A. Han.  Evolution Prospection. In Proceedings KES International Conference on Intelligence Decision Technologies, pages 139-150, "New Advances in Intelligent Decision Technologies", Springer Studies in Computational Intelligence vol.199, 2009, Japan

• L. M. Pereira and T. A. Han.  Intention Recognition via Causal Bayesian Networks plus Plan Generation. In Proceedings 14th Portuguese Conference on Artificial Intelligence (EPIA’2009), Springer LNAI 5816, pages 138-149, 2009, Evora, Portugal.   (Abstract)

2008

• T. A. Han, D. P. Carroline and C. V. Damasio.  An Implementation of Extended P-log using XASP. In Proceedings of International Conference on Logic Programming (ICLP’2008), pages 739–743, Springer LNCS 5366, 2008, Udine, Italy. (Abstract)

• I. L. Bratchikov and T. A. Han. New Preprocessing Methods for Handwriting Recognition. Vechnik St. Petersburg State University, 10:16-24, September 2008, ISSN 1811-9905 (In Russian). (Abstract)

2007

• T. A. Han.  Preprocessing Methods for Handwriting Recognition. In Proceedings of International Conference on Control Processes and Stability (CPS'07), April 2007, St. Petersburg, Russia.

Theses

• T. A. Han. Intention Recognition, Commitments and Their Roles in the Evolution of Cooperation. PhD Thesis, Department of Informatics, Faculty of Sciences and Technologies, Universidade Nova de Lisboa, Portugal.

• T. A. Han. Evolution Prospection with Intention Recognition via Computational Logic. Master Thesis, Technical University of  Dresden, Germany and Universidade Nova de Lisbon, Portugal, 2009

•