Publications

My publications can be found in Scholar of below:

PREPRINTS

Maisto D., Gregoretti F., Friston K., Pezzulo G. (2021) Active Tree Search in Large POMDPs. ArXiv preprint [link]
Lee D., Benon J., Hopper W., Verdeil M., Pessiglione M., Vinckier F., Bouret S., Rouault M., Lebouc R., Pezzulo G., Schreiweis C., Burguiere E., Daunizeau J. (2023) The online metacognitive control of decisions. Biorxiv preprint [preprint]
Eluchans M., Lancia GL., Maselli A., D'Alessandro M., Gordon J., Pezzulo G. (2023) Adaptive planning depth in human problem solving. bioRxiv preprint [preprint]
Barca L., Iodice P., Chaigneau A., Lancia G.L., Pezzulo G. (2023) Emotional distress and affective knowledge representation one year after the Covid-19 outbreak. OSF Preprints [link]
Donnarumma F., Frosolone M., Pezzulo G. (2023) Integrating large language models and active inference to understand eye movements in reading and dyslexia. arXiv preprint. [link]
Van de Maele T., Dhoedt B, Verbelen T., Pezzulo G. (2023) Bridging Cognitive Maps: a Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit. arXiv preprint [link]
Van de Maele T., Dhoedt B, Verbelen T., Pezzulo G. (2023) Integrating cognitive map learning and active inference for planning in ambiguous environments. arXiv preprint [link]
Van de Maele T., Dhoedt B, Verbelen T., Pezzulo G. (2023) A model of hippocampal-prefrontal interactions to solve spatial memory-guided tasks. 4th International Workshop on Active Inference [link]
Mannella F., Pezzulo G. (2023) Transitive inference as probabilistic preference learning. arXiv preprint [link]
Brucklacher M., Pezzulo G., Mannella F., Galati G., Pennartz CMA (2023) Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits. biorXiv preprint [link]
Proietti R., Pezzulo G., Binkofski F, Tessari A. (2023) Limb apraxia and active inference in the visuomotor pathways. PsyArXiv Preprints [preprint]

2024

Pezzulo G., Parr T., Friston K. (2024) Active inference as a theory of sentient behavior. Biological Psychology 108741 [link]
Gregoretti F., Maisto D., Pezzulo G. (2024) cpp-AIF: a multi-core C++ implementation of Active Inference for Partially Observable Markov Decision Processes. Neurocomputing 568, 127065 [repo][link]
Ibáñez-Berganza M., Lucibello C., Mariani L., Pezzulo G. (2024) Information-theoretical analysis of the neural code for decoupled face representation. Plos one 19(1): e0295054 [link] [preprint]
Pezzulo G., D'Amato L., Mannella F., Priorelli M., Van de Maele T., Stoianov I., Friston K. (2024) Neural representation in active inference: using generative models to interact with - and understand - the lived world. Annals of the New York Academy of Science [link] [preprint]
Priorelli M., Maggiore F., Maselli A., Donnarumma F., Maisto D., Mannella F., Stoianov I., Pezzulo G. (2024) Modeling motor control in continuous-time Active Inference: a survey. IEEE Transactions on Cognitive and Developmental Systems 16(2), 485 - 500 [preprint][link]
Amunts K., et al. (2024) The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing. Imaging Neuroscience. [link][preprint]
Senden M., van Albada S., Pezzulo G., Falotico E., Hashim I., Kroner A., Kurth AC, Lanillos P, Narayanan V, Pennartz C, Petrovici MA, Steffen L, Weidler T, Goebel R. (2024) Modular-integrative modeling: a new framework for building brain models that blend biological realism and functional performance. National Science Review 11 (5)

2023

Pezzulo G., Parr T., Cisek P., Clark A., Friston K. (2023) Generating Meaning: Active Inference and the Scope and Limits of Passive AI. Trends in Cognitive Sciences [link] [preprint]
Lancia G.L., Eluchans M., D'Alessandro M., Spiers H., Pezzulo G., (2023) Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation. PLOS Computational Biology [link] [preprint]
Rens N., Lancia GL., Eluchans M., Schwartenbeck P., Cunnington R., Pezzulo G. (2023) Evidence for entropy maximisation in human free choice behaviour. Cognition [link][preprint][press coverage]
Barca L., Candidi M., Lancia G.L., Maglianella V., Pezzulo G. (2023) Mapping the mental space of emotional concepts through kinematic measures of decision uncertainty. Philosophical Transactions of the Royal Society B [link][preprint]
Lee D., Daunizeau J., Pezzulo G. (2023) Evidence or Confidence: What is Really Monitored During a Decision? Psychonomic Bulletin & Review [link][preprint]
Lee D., Pezzulo G. (2023) Changes in preference reported after choices are informative, not merely statistical artifacts. Decision [link][preprint]
Rigoli F., Pezzulo G. (2022) The traps of adaptation: Addiction as maladaptive referent-dependent evaluation. Cognitive, Affective, & Behavioral Neuroscience [link]
Parr T., Friston K., Pezzulo G. (2023) Generative models for sequential dynamics in active inference. Cognitive Neurodynamics [link]
Parr T., Holmes E., Friston K., Pezzulo G. (2023) Cognitive effort and active inference. Neuropsychologia [link]
Proietti R., Pezzulo G., Tessari A. (2023) An active inference model of hierarchical action understanding, learning and imitation. Physics of Life Reviews [link][preprint]
Taniguchi T., Murata S., Suzuki M., Ognibene D., Lanillos P., Ugur E., Jamone L., Nakamura T., Ciria A., Lara B., Pezzulo G. (2023) World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges. Advanced Robotics [ link][preprint]
Catenacci Volpi N., Greaves M., Trendafilov D., Salge C., Pezzulo G., Polani D. (2022) Skilled motor control of an inverted pendulum implies a low entropy of states but a high entropy of actions. Plos Computational Biology [link] [preprint]
Maselli A., Gordon J., Eluchans M., Lancia G.L., Thiery T., Moretti R., Cisek P., Pezzulo G. (2023) Beyond simple laboratory studies: developing sophisticated models to study rich behavior. Physics of Life Reviews [link] [preprint]
Gordon J., Knoblich G., Pezzulo G. (2023) Strategic Task Decomposition in Joint Action. Cognitive Science [link]
Muhle-Karbe P.S., Sheahan H., Pezzulo G., Spiers H.J., Chien S., Schuck N.W., Summerfield C. (2023) Goal-seeking compresses neural codes for space in the human hippocampus and orbitofrontal cortex. Neuron [link][preprint]
Priorelli M., Pezzulo G., Stoianov I. (2023) Active vision in binocular depth estimation: a top-down perspective. Biomimetics [preprint][link]
Parrotta, Bach, Pezzulo, Perrucci, Costantini, Ferri (2023) Exposure to false cardiac feedback alters pain perception and anticipatory cardiac frequency. Elife [link] [preprint]
Lee D., D'Alessandro M., Iodice P., Calluso C., Rustichini A., Pezzulo G. (2022) Risky decisions are influenced by individual attributes as a function of risk preference. Cognitive Psychology [link][preprint]
Maisto D., Donnarumma F., Pezzulo G. (2023) Interactive Inference: a multi-agent model of cooperative joint actions. IEEE Transactions on Systems, Man, and Cybernetics: Systems [link][preprint]
Barca L., Maisto D., Pezzulo G. (2023) Modeling and controlling the body in maladaptive ways: an active inference perspective on non-suicidal self-injury behaviors. Neuroscience of Consciousness [link]
Priorelli M., Pezzulo G., Stoianov I. (2023) Deep kinematic inference affords efficient and scalable control of bodily movements. PNAS [link][preprint]
Eluchans M., Donnarumma F., Pezzulo G. (2023) From particles to collectives: Commentary on" Path integrals, particular kinds, and strange things" by Friston et al. Physics of life reviews 48, 106-108 [link]

2022

Parr T., Pezzulo G., Friston K. (2022) Active Inference: The Free Energy Principle in Mind, Brain, and Behavior. MIT Press [link][open access]
Pezzulo G., Donnarumma F., Ferrari-Toniolo S., Cisek P., Battaglia-Mayer A. (2022) Shared population-level dynamics in monkey premotor cortex during solo action, joint action and action observation. Progress in Neurobiology, 210, 102214 [link][preprint]
Tschantz A., Barca L., Maisto D., Buckley C.L., Seth A.K., Pezzulo G. (2022) Simulating homeostatic, allostatic and goal-directed forms of interoceptive control using Active Inference. Biological Psychology, 108266 [link] [preprint]
Maselli A., Lanillos P., Pezzulo G. (2022) Active inference unifies intentional and conflict-resolution imperatives of motor control. PLOS Computational Biology [link] [preprint]
Rigoli F., Pezzulo G. (2022) A reference-based theory of motivation and effort allocation. Psychonomic Bulletin & Review [link]
Stoianov I., Maisto D., Pezzulo G., (2022) The hippocampal formation as a hierarchical generative model supporting generative replay and continual learning. Progress in Neurobiology, 217, 102329 [link][preprint]
Gordon J., Lancia G.L., Eluchans M., Maselli A., Thiery T., Cisek P., Pezzulo G. (2022) Studying Embodied Decisions in the Wild and in the Lab. In Affordances in Everyday Life (pp. 159-171). Springer, Cham. [link]
Pio-Lopez L., Kuchling F., Tung A., Pezzulo G., Levin M. (2022) Active inference, morphogenesis, and computational psychiatry. Frontiers in Computational Neuroscience [preprint] [link]
Torricelli F., Tommasini A., Pezzulo G., Pozzo T, Fadiga L., D'Ausilio A. (2022) Motor invariants in action execution and observation. Physics of Life Reviews [link]

2021

Pezzulo G., Zorzi M., Corbetta M. (2021) The secret life of predictive brains: what's spontaneous activity for? Trends in Cognitive Sciences, 25(9), 730-743 [link][preprint][open access][press]
Pezzulo G., Roche L., Saint-Bauzel L. (2021) Haptic communication optimises joint decisions and affords implicit confidence sharing. Scientific Reports 11:1051 [link] [preprint]
Donnarumma F., Prevete R., Maisto D., Fuscone A., Irvine E., van der Meer M., Kemere C., Pezzulo G. (2021) A framework to identify structured behavioral patterns within rodent spatial trajectories. Scientific Reports 11:468 [link] [preprint][press][HFSP Science Digest 2021]
Duvelle E., Grieves R.M., Liu A., Jedidi-Ayoub S., Holeniewska J., Harris A., Nyberg N., Donnarumma F., Lefort J.M., Jeffery K.J., Summerfield C., Pezzulo G., Spiers H.J. (2021) Hippocampal place cells encode global location but not connectivity in a complex space. Current Biology, 31(6), 1221-1233.e9 [link] [preprint]
Maisto D., Barca, L., Van den Bergh O., Pezzulo G. (2021) Perception and misperception of bodily symptoms from an Active Inference perspective: Modelling the case of panic disorder. Psychological Review, 128(4), 690-710 [link] [preprint]
Ciria A., Schillaci G., Pezzulo G., Hafner V., Lara B. (2021) Predictive Processing in Cognitive Robotics: a Review. Neural Computation, in press [link][preprint]
Rigoli F., Martinelli C., Pezzulo G. (2021) The half empty/full glass in mental health: a reference-dependent computational model of evaluation in psychopathology. Clinical Psychological Science, 1-14 [link]
Pezzulo G., LaPalme J., Durant F., Levin M. (2021) Bistability of Somatic Pattern Memories: Stochastic Outcomes in Bioelectric Circuits Underlying Regeneration. Philosophical Transactions of the Royal Society B 376 (1821), 20190765 [link] [preprint]
Sims, M., Pezzulo, G. (2021) Modelling Ourselves: what the Free Energy Principle reveals about our implicit notions of representation. Synthese, in press [link] [preprint]
Donnarumma F., Pezzulo G. (2021) Moral decisions in the age of COVID-19: your choices really matter. Social Sciences & Humanities Open. in press [link] [preprint]
Yu A., Iodice P. Pezzulo, G., Barca, L. (2021) Bodily Information and Top-Down Affective Priming Jointly Affect the Processing of Fearful Faces. Frontiers in Psychology [link] [preprint]
Mannella F., Maggiore F., Baltieri M., Pezzulo G. (2021) Active inference through whiskers. Neural Networks 144, 428-437 [link] [preprint]
Rigoli, F., Martinelli, C., Pezzulo, G. (2021) I want to believe: delusion, motivated reasoning, and Bayesian decision theory. Cognitive Neuropsychiatry, 26(6), 408-420 [link]
Gordon J., Maselli A., Lancia G.L., Thiery T., Cisek P., Pezzulo G. (2021) The road towards understanding embodied decisions. Neuroscience & Biobehavioral Reviews 131, 722-736 [link][preprint]
Pezzulo G., Parr T., Friston K. (2021) The evolution of brain architectures for predictive coding and Active Inference. Philosophical Transactions of the Royal Society B, 377(1844) [link]
Parr T., Pezzulo G. (2021) Understanding, explanation, and active inference. Frontiers Systems Neuroscience [link]
Cos I., Pezzulo G., Cisek P. (2021) Changes of Mind after Movement Onset Depend on the State of the Motor System. eNeuro [link][preprint]

2020

Pezzulo G., Barca L., Maisto D., Donnarumma F. (2020) Social epistemic actions, Behavioral and Brain Sciences 43, e113 [link]
Barca L., Pezzulo G. (2020) Keep your interoceptive streams under control: an active inference perspective on Anorexia Nervosa, Cognitive, Affective, & Behavioral Neuroscience [link] [preprint]
Corcoran A.W., Pezzulo G., Hohwy, J. (2020) From Allostatic Agents to Counterfactual Cognisers: Active Inference, Biological Regulation, and The Origins of Cognition. Biology & Philosophy 35, 1-45 [link] [preprint]
Pezzulo, G. (2020) Disorders of morphogenesis as disorders of inference. Physics of Life Reviews. [link]
Baker SA., Griffith T., Pezzulo G., Lepora N. (2020) Decision-making as a closed-loop process. 18th International Conference on Cognitive Modeling [link]

2019

Pezzulo G., Donnarumma F., Maisto D., Stoianov I. (2019) Planning at decision time and in the background during spatial navigation. Current Opinion in Behavioral Science, 29, 69-76 [link]
Iodice P. Porciello G., Bufalari I., Barca L., Pezzulo G. (2019) An interoceptive illusion of effort induced by false heart-rate feedback. Proceedings of the National Academy of Sciences 116 (28) 13897-13902 [link][press coverage]
Pezzulo G., Friston, K. (2019) The value of uncertainty: An active inference perspective. Behavioral and Brain Sciences, 42, E47. doi:10.1017/S0140525X18002066 [link]
Pezzulo, G., Nolfi, S. (2019) Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor Coordination. Entropy 21 (350) [link]
Pezzulo G., Donnarumma, F., Dindo, H., D'Ausilio, A., Konvalinka, I., Castelfranchi, C. (2019) The future of sensorimotor communication research. Reply to comments on "The body talks: Sensorimotor communication and its brain and kinematic signatures". Physics of Life Reviews [link]
Iodice P., Ripari, P., Pezzulo, G. (2019) Local high-frequency vibration therapy following eccentric exercises reduces muscle soreness perception and posture alterations in elite athletes. European Journal of Applied Physiology, 1-11 [link]
Gómez CM., Arjona A., Donnarumma F., Maisto D., Rodriguez Martinez E.I., Pezzulo G. (2019) Tracking the time course of Bayesian inference with Event Related Potentials: a study using the central cue Posner paradigm. Frontiers in Psychology 10:1424. doi: 10.3389/fpsyg.2019.01424 [link]
Borghi A.M., Barca L., Binkofski F., Castelfranchi C., Pezzulo G., Tummolini L. (2018) Words as social tools: Flexibility, situatedness, language and sociality in abstract concepts. Reply to comments on “Words as social tools: Language, sociality and inner grounding in abstract concepts”. Physics of Life Reviews [link]
Maisto D., Friston K., Pezzulo G. (2019) Caching Mechanisms for Habit Formation in Active Inference. Neurocomputing 359, 298-314 [link]
Maranesi M., Bruni S., Livi A., Donnarumma F., Pezzulo G., Bonini L. (2019) Differential neural dynamics underling pragmatic and semantic affordance processing in macaque ventral premotor cortex. Scientific reports 9 (1), 1-11 [link]
Pezzulo G., Maisto D., Barca L., Van den Bergh, O. (2019) Symptom perception from a predictive processing perspective. Clinical Psychology in Europe 1(4), e35952 [link]
Priorelli M., Kirtay M., Albanese U., Vannucci L., Laschi C., Stoianov I., Pezzulo G., Falotico E. (2019) Spatial navigation via deep reinforcement learning in the Neurorobotics Platform. I-RIM Conference 2019 [link]

2018

Pezzulo G., Rigoli, F. Friston, K. (2018) Hierarchical Active Inference: a Theory of Motivated Control. Trends in Cognitive Sciences 22(4), 294-306 [link]
Pezzulo G., Iodice, P., Barca, L., Chausse, P., Monceau, S., Mermillod, M. (2018) Increased heart rate after exercise facilitates the processing of fearful but not disgusted faces. Scientific Reports, 8, 398 [link]
Prevete R., Donnarumma F., D'Avella A., Pezzulo G. (2018) Evidence for sparse synergies in grasping actions. Scientific Reports, 8, 616 [link]
Miller K.J., Ludvig E.A., Pezzulo G., Shenhav A. (2018) Re-aligning models of habitual and goal-directed decision-making, In Bornstein A.M., Morris R.W., Shenhav A. (Eds.), Goal-Directed Decision Making: Computations and Neural Circuits. Amsterdam: Elsevier [link]
Di Lernia D., Serino S., Pezzulo G., Pedroli, E., Cipresso P., Riva G. (2018) Feel the time. Time perception as a function of interoceptive processing. Frontiers in Human Neuroscience, 12:74 [link]
Pezzulo G., Levin, M. (2018) Embodying Markov blankets (Commentary). Physics of Life Reviews [link]
Corcoran A.W., Pezzulo, G., Hohwy, J. (2018) Commentary: Respiration-Entrained Brain Rhythms Are Global but Often Overlooked. Front. Syst. Neurosci. [link]
Pezzulo G., Donnarumma, F., Dindo, H., D'Ausilio, A., Konvalinka, I., Castelfranchi, C. (2018) The body talks: sensorimotor communication and its kinematic and brain signatures. Physics of Life Reviews 28, 1-21 [link]
Stoianov I., Pennartz, C., Lansink, C., Pezzulo, G. (2018) Model-based spatial navigation in the hippocampus - ventral striatum circuit: A computational analysis. PLoS Computational Biology, 14(9) e1006316 [link]
Borghi A.M., Barca L., Binkofski F., Castelfranchi C., Pezzulo G., Tummolini L. (2018) Words as social tools: Language, sociality and inner grounding in abstract concepts. Physics of Life Reviews [link]
Zenon A., Solopchuk, O, Pezzulo, G. (2018) An information-theoretic perspective on the costs of cognition. Neuropsychologia [link]

2017

Pezzulo G., Iodice, P., Donnarumma, F., Dindo, H., Knoblich, G. (2017) Avoiding accidents at the champagne reception: A study of joint lifting and balancing. Psychological Science, 28(3), 338-345 [link]
Friston K., Lin M., Frith CD, Pezzulo G., Hobson J., Ondobaka, S. (2017) Active Inference, Curiosity and Insight. Neural Computation 29(10) 2633-2683 [link]
Levin, M., Pezzulo, G., Finkelstein, J.M. (2017) Endogenous Bioelectric Signaling Networks: Exploiting Voltage Gradients for Control of Growth and Form. Annual Review of Biomedical Engineering 19, 353-387 [link]
Donnarumma, F., Costantini, M., Ambrosini, E., Friston, K., Pezzulo, G. (2017) Action perception as hypothesis testing. Cortex 89, 45-60 [link]
Donnarumma, F., Dindo, H., Pezzulo, G. (2017) Sensorimotor communication for humans and robots: improving interactive skills by sending coordination signals. IEEE Transactions on Cognitive and Developmental Systems [link]
Iodice, P., Calluso, C., Barca, L., Bertollo, M., Ripari, P., Pezzulo, G. (2017) Fatigue increases the perception of future effort during decision making. Psychology of Sport and Exercise [link]
Donnarumma, F., Dindo, H., Iodice, P., Pezzulo, G. (2017) You cannot speak and listen at the same time: a probabilistic model of turn-taking. Biological Cybernetics, 111(2), 165-183 [link]
Iodice, P., Ferrante, C., Brunetti, L., Cabib, S., Protasi, F., Walton, M., Pezzulo, G. (2017) Fatigue modulates dopamine availability and promotes flexible choice reversals during decision-making. Scientific Reports 537 [link]
Donnarumma, F., Dindo, H., Pezzulo, G. (2017) Sensorimotor coarticulation in the execution and recognition of intentional actions. Frontiers in Psychology 8, 237 [link]
Rigoli, F., Pezzulo, G., Dolan, R., Friston, K. (2017) A goal-directed framework for categorization. Frontiers in Psychology, 22 [link]
Pezzulo, G. (2017) Tracing the roots of cognition in predictive processing. In T. Metzinger & W. Wiese (Eds.) Philosophy and Predictive Processing: 20. Frankfurt am Main: MIND Group. [link]
Barca, L., Pezzulo, G., Ouellet, M., Ferrand, L. (2017) Dynamic lexical decisions in French: Evidence for a feedback inconsistency effect. Acta Psychologica 180, 23-32 [link]
Pezzulo, G., Kemere, C., van der Meer, M. (2017) Internally generated hippocampal sequences as a vantage point to probe future-oriented cognition. Annals of the New York Academy of Sciences 1396, 144-165 [link]
Caligiore, D., Pezzulo, G., Baldassarre, G., Bostan, A.C, Strick, P.L., Doya, K., Helmich, R.C., Dirkx, M., Houk, J., Jörntell, H., Lago-Rodriguez, A., Galea, J.M., Miall, R.C., Popa, T., Kishore, A., Verschure, P., Herreros, I. (2017) Consensus Paper: Towards a systems-level view of cerebellar function: the interplay between cerebellum, basal ganglia and cortex. Cerebellum, 16(1), 203-229 [link]
Pezzulo, G., Donnarumma, F., Iodice, P., Maisto, D., Stoianov, I. (2017) Model-Based Approaches to Active Perception and Control. Entropy 19(6), 266 [link]

2016

Pezzulo, G., Cisek P. (2016) Navigating the Affordance Landscape: Feedback Control as a Process Model of Behavior and Cognition. Trends in Cognitive Sciences 20 (6), 414-424 [link]
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., O’Doherty, J., Pezzulo, G. (2016) Active inference and learning. Neuroscience & Biobehavioral Reviews, 68:862-79 [link]
Friston, K., FitzGerald, T., Rigoli, F., Schwartenbeck, P., Pezzulo, G. (2016) Active Inference: a Process Theory. Neural Computation 29(1), 1-49 [link]
Stoianov, I., Genovesio, A., Pezzulo, G. (2016) Prefrontal goal-codes emerge as latent states in probabilistic value learning. Journal of Cognitive Neuroscience, 28(1):140-57 [link][pdf]
Pezzulo, G., Cartoni, E., Rigoli, F., Pio-Lopez, L., Friston, K. (2016) Active Inference, epistemic value, and vicarious trial and error. Learning & Memory 23, 322-338 [link]
Rigoli, F., Pezzulo, G., Dolan, R. J. (2016) Prospective and Pavlovian mechanisms in aversive behaviour. Cognition, 146, 415–425 [link]
Maisto, D., Donnarumma, F., Pezzulo, G. (2016) Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks. Entropy 18(2), 61 [link][pdf]
Donnarumma, F., Maisto, D., Pezzulo, G. (2016) Problem solving as probabilistic inference with subgoaling: explaining human successes and pitfalls in the Tower of Hanoi. PLOS Computational Biology 12(4): e1004864 [link]
Pezzulo, G. (2016) The mechanisms and benefits of a future-oriented brain. In Seeing the Future: Theoretical Perspectives on Future-Oriented Mental Time Travel. Eds. Michaelian, K., Klein, S. B., Szpunar, K. K., Oxford University Press [link]
Pezzulo, G. (2016) The contribution of pragmatic skills to cognition and its development: common perspectives and disagreements. In: The Pragmatic Turn. Toward Action-Oriented Views in Cognitive Science. Eds: Engel, A.K., Friston, K.J., Kragic, D., MIT Press
Pezzulo, G., Vosgerau, G., Frith, U., Hamilton, A., Heyes, C., Iriki, A., Jörntell, H., König, P., Nagel, S., Oudeyer, P-Y., Rupert, R., Tramacere, A. (2016) Acting Up: What Difference Does an Action-Oriented Approach Make to the Study of Cognitive Development? In: The Pragmatic Turn. Toward Action-Oriented Views in Cognitive Science. Eds: Engel, A.K., Friston, K.J., Kragic, D., MIT Press
Iodice, P., Lessiani, G., Franzone, G., Pezzulo, G. (2016) Efficacy of pulsed low-intensity electric neuromuscular stimulation in reducing pain and disability in patients with myofascial syndrome. J Biol Regul Homeost Agents. 30(2):615-20 [link]
Pezzulo, G., D'Ausilio, A., Gaggioli, A. (2016) Predictive technologies: Can smart tools augment the brain’s predictive abilities? Frontiers in Neuroscience 10:186 [link]
Quétard, B., Quinton, J.C., Mermillod, M., Barca, L., Pezzulo, G., Colomb, M., Izaute, M. (2016) Differential effects of visual uncertainty and contextual guidance on perceptual decision: Evidence from eye and mouse tracking in visual search Journal of Vision [link]
Smeding, A., Quinton j.C., Lauer, K., Barca, L., Pezzulo, G. (2016) Tracking and simulating dynamics of implicit stereotypes: A situated social cognition perspective. Journal of Personality and Social Psychology: Attitudes and Social Cognition [link]
Pezzulo, G. (2016) Toward mechanistic models of action-oriented and detached cognition. Behavioral and Brain Sciences, 39 e130 (Commentary to Anderson) [link]
Pio-Lopez, L., Nizard, A., Friston, K., Pezzulo, G. (2016) Active inference and robot control: a case study. Journal of the Royal Society Interface 13 (122) [link]
Pezzulo, G., Levin, M. (2016) Top-down Models in biology: Explanation and control of complex living systems above the molecular level. Journal of the Royal Society Interface [link]

2015

Pezzulo, G., Rigoli, F., Friston, K. (2015) Active Inference, homeostatic regulation and adaptive behavioural control. Progress in Neurobiology 134, 17-35 [link][pdf]
Friston, K., Rigoli, F., Ognibene, D., Mathys, C., FitzGerald, T., Pezzulo, G. (2015) Active inference and epistemic value. Cognitive Neuroscience, 6(4), 187-214 [link]
Ambrosini, E. Pezzulo, G., Costantini, M. (2015) The eye in hand: Predicting others' behavior by integrating multiple sources of information. Journal of Neurophysiology [link]
Lepora, N., Pezzulo, G. (2015) Embodied Choice: How action influences perceptual decision making. PLOS Computational Biology 11(4): e1004110 [link]
Maisto, D., Donnarumma, F., Pezzulo, G. (2015) Divide et Impera: subgoaling reduces the complexity of probabilistic inference and problem solving. Journal of the Royal Society Interface 12(104) [link]
Pezzulo, G., Donnarumma, F., Iodice, P., Prevete, R., Dindo, H. (2015) The role of synergies within generative models of action execution and recognition: A computational perspective Physics of Life Reviews [link]
Barca L., Pezzulo G. (2015) Tracking second thoughts: continuous and discrete revision processes during visual lexical decision. PLoS ONE 10(2): e0116193. [link]
Pezzulo, G., Barca, L., Friston, K. (2015) Active inference and cognitive-emotional interactions in the brain. Behavioral and Brain Sciences (Commentary to Pessoa). 28, e85 [link]
Friston, K., Levin, M., Sengupta, B., Pezzulo, G. (2015) Knowing one's place: a free energy approach to pattern regulation. Journal of the Royal Society Interface 12(105) [link]
Calluso, C., Tosoni, A., Pezzulo, G., Spadone, S., Committeri, G. (2015) Interindividual variability in functional connectivity as long-term correlate of temporal discounting. PLoS ONE [link]
Donnarumma, F., Prevete, R., Chersi, F., Pezzulo, G. (2015) A Programmer–Interpreter Neural Network Architecture for Prefrontal Cognitive Control. International Journal of Neural Systems, Vol. 25, No. 4 1550017 [link]
Iodice, P., Cesinaro, S., Romani, G.L., Pezzulo, G. (2015) More gain less pain: balance control learning shifts the activation patterns of leg and neck muscles and increases muscular parsimony. Experimental Brain Research, 233(7), 2103-2114 [link]
Iodice, P., Scuderi, N., Saggini, R., Pezzulo, G. (2015) Multiple timescales of body schema reorganization due to plastic surgery. Human Movement Science, 42, 54-70 [link]
Dindo, H., Donnarumma, F., Chersi, F., Pezzulo, G. (2015) The Intentional Stance as Structure Learning: A Computational Perspective on Mindreading. Biological Cybernetics, 109(4), 453-467 [link]
Quétard, B., Quinton, J.C., Colomb, M., Pezzulo, G., Barca, L., Izaute, M., Appadoo, O.K., Mermillod, M. (2015) Combined effects of expectations and visual uncertainty upon detection and identification of a target in the fog. Cognitive Processing [link]
Candidi, M., Curioni, A., Donnarumma, F., Sacheli, L.M., Pezzulo, G. (2015) Interactional leader-follower sensorimotor communication strategies during repetitive joint actions Journal of the Royal Society Interface 12: 20150644 [link]
Calluso, C., Committeri, G., Pezzulo., Lepora, N., Tosoni, A. (2015) Analysis of hand kinematics reveals inter-individual differences in intertemporal decision dynamics. Experimental Brain Research, 233(12):3597-611 [link]
Donnarumma, D., Prevete, R., De Giorgio, A., Montone, G., Pezzulo, G. (2015) Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario. Adaptive Behavior [link]
Barca, L., Benedetti, F., Pezzulo, G. (2015) The effects of phonological similarity on the semantic categorization of pictorial and lexical stimuli: evidence from continuous behavioral measures. Journal of Cognitive Psychology [link]
Santucci, VG, Cilia, ND, Pezzulo, G. (2015) The status of the simulative method in cognitive science: current debates and future prospects. Paradigmi, 3, 47-66
Pezzulo, G., Levin, M. (2015) Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs. Integrative Biology, 7(12):1487-517 [link]

2014

Pezzulo, G., van der Meer MA, Lansink, C. S., Pennartz, C. (2014) Internally generated sequences in learning and executing goal-directed behavior. Trends in Cognitive Sciences 18(12), 647–657 [link]
Pezzulo, G., Verschure, P., Balkenius, C., Pennartz, C. (2014) The principles of goal-directed decision-making: from neural mechanisms to computation and robotics. Philosophical Transactions of the Royal Society B: Biological Sciences 369(1655) 20130470 [link]
Verschure, P.F.M.J., Pennartz, C.M.A, Pezzulo, G. (2014) The why, what, where, when and how of goal-directed choice: neuronal and computational principles. Philosophical Transactions of the Royal Society B: Biological Sciences 369(1655) 20130483 [link] [pdf]
Pezzulo, G., Barca, L., D'Ausilio, A. (2014). The sensorimotor and social sides of the architecture of speech. Behavioral and Brain Sciences 37:6, 569-570 (Commentary to Ackermann, Hage, and Ziegler).
Pezzulo, G. (2014). Goals reconfigure cognition by modulating predictive processes in the brain. Behavioral and Brain Sciences (Commentary to Huang and Bargh). 37(2):154-5. doi: 10.1017/S0140525X13002148 [link]
Tosoni, A, Corbetta, M., Calluso, C., Committeri, G., Pezzulo, G., Romani, G.L., Galati, G. (2014) Decision and action planning signals in human posterior parietal cortex during delayed perceptual choices. European Journal of Neuroscience 39(8), 1370 - 1383 [link]
Koziol L.F., Budding D., Andreasen N., D’Arrigo S., Bulgheroni S., Imamizu H., Ito M., Manto M., Marvel C., Parker K., Pezzulo G., Ramnani N., Riva D., Schmahmann J., Vandervert L., Yamazaki T. (2014). Consensus paper: the cerebellum's role in movement and cognition. The Cerebellum, 13(1) 151-177 [link] [pdf]
Chersi F., Ferro M., Pezzulo G., Pirrelli V. (2014) Topological Self‐Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain. Topics in Cognitive Science, 6(3):476-91 [link]
Catenacci Volpi N., Quinton J.C., Pezzulo G. (2014) How active perception and attractor dynamics shape perceptual categorization: a computational model. Neural Networks, 60, 1-16 [link]
Flumini, A., Barca, L., Borghi A.M., Pezzulo G. (2014) How do you hold your mouse? Tracking the compatibility effect between hand posture and stimulus size. Psychological Research, 79(6), 928-938 [link]
Nivel E., Thórisson K.R., Steunebrink B.R., Dindo H., Pezzulo G., Rodriguez M., Hernandez C., Ognibene D., Schmidhuber J., Sanz R., Helgason H.P., Chella A., Jonsson G.K. (2014) Autonomous acquisition of natural language. Proceedings of IADIS International Conference on Intelligent Systems & Agents. Lisbon, Portugal, July 15-17, 58-66
Thórisson, K.R., Nivel, E., Steunebrink, B.R., Helgason, H.P., Pezzulo, G., Sanz, R., Schmidhuber, J., Dindo, H., Rodríguez, M., Chella, A., Jonsson, G.K., Ognibene, D., Hernández, C. (2014). Autonomous Acquisition of Natural Situated Communication. IADIS International Journal on Computer Science and Information Systems (IJCSIS) (ISSN: 1646-3692), forthcoming.

2013

Pezzulo, G. (2013). Why do you fear the Bogeyman? An embodied predictive coding model of perceptual inference. Cognitive, Affective, and Behavioral Neuroscience, 14(3):902-911 [link]
Pezzulo, G. (2013). Studying mirror mechanisms within generative and predictive architectures for joint action. Cortex. 49, 2968-2969 [link]
Pezzulo, G., Donnarumma, F., and Dindo, H. (2013). Human Sensorimotor Communication: A Theory of Signaling in Online Social Interactions PLoS ONE 8 (11), e79876 [link]
Pezzulo, G. and Dindo, H. (2013). Intentional strategies that make co-actors more predictable: the case of signaling. Behavioral and Brain Sciences, 36:4, 43-44 (Commentary to Pickering and Garrod).
Barca L., Pezzulo G., Castrataro M., Rinaldi P., Caselli M.C. (2013) Visual Word Recognition in Deaf Readers: Lexicality Is Modulated by Communication Mode. PLoS ONE 8(3): e59080 [link]
Pezzulo, G., Candidi, M., Dindo, H., and Barca, L. (2013). Action simulation in the human brain: Twelve questions. New Ideas in Psychology. 31(3): 270–290 [link] [pdf]
Pezzulo, G., Barsalou, L., Cangelosi, A., Fischer, M., McRae, K., and Spivey, M. (2013) Computational Grounded Cognition: A New Alliance between Grounded Cognition and Computational Modeling. Frontiers in Psychology, 3:612 [link]
Pezzulo, G., Rigoli, F., Chersi F. (2013) The Mixed Instrumental Controller: Using Value of Information to Combine Habitual Choice and Mental Simulation. Frontiers in Psychology 4:92. doi: 10.3389/fpsyg.2013.00092 [link]
Chersi, F., Mirolli, M., Pezzulo, G., Baldassarre, G. (2013) A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning. Neural Networks, 41:212-24 [link]
Chersi, F., Donnarumma, F., and Pezzulo, G. (2013) Mental imagery in the navigation domain: A computational model of sensory-motor simulation mechanisms. Adaptive Behavior. 21(4): 251-262 [link] [pdf]
Ognibene, D., Volpi, N. C., Pezzulo, G., and Baldassare, G. (2013) Learning Epistemic Actions in Model-Free Memory-Free Reinforcement Learning: experiments with a neuro-robotic model. Living Machines 2013.
Sigaud, O., Butz, M., Pezzulo, G., and Herbort, O. (2013). The anticipatory construction of reality as a central concern for psychology and robotics. New Ideas in Psychology. 31(3): 217–220 [link]
Grau-Moya, J., Hez, E., Pezzulo, G., and Braun, D.A. (2013) The effect of model uncertainty on cooperation in sensorimotor interactions. Journal of Royal Society Interface 10(87), 20130554 [link]
Caligiore D., Pezzulo G., Miall C., Baldassarre G. (2013) The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities. Neuroscience & Biobehavioral Reviews, 37(10):2504–2515 [link]
Lepora, N.F., Martinez-Hernandez, U., Pezzulo, G., and Prescott, T.J. (2013). Active Bayesian perception and reinforcement learning. Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013) [pdf]
Maisto, D., Donnarumma, F., and Pezzulo, G. (2013). Using subgoals to reduce the descriptive complexity of probabilistic inference and control programs. Unpublished proceedings of the 1st Multidisciplinary Conference on Reinforcement Learning and Decision Making. [pdf]
Quinton, J. C., Catenacci Volpi, N., Barca, L., and Pezzulo, G. (2013) The cat is on the mat. Or is it a dog? Dynamic competition in perceptual decision making IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems 44(5): 539 - 551 [link] [pdf]
Pezzulo, G., Iodice, P., Ferraina, S., and Kessler, K. (2013) Shared Action Spaces: a basis function framework for social re-calibration of sensorimotor representations supporting joint action Front. Hum. Neurosci. 7:800. doi: 10.3389/fnhum.2013.00800 [link]
Nivel, E., Thórisson, K. R., Steunebrink, B. R., Dindo, H., Pezzulo, G, Rodriguez, M., Hernandez, C., Ognibene, D., Schmidhuber, J., Sanz, R., Helgason, H. P., Chella, A., Jonsson, G.K. (2013) Bounded Recursive Self-Improvement. arXiv:1312.6764 [link]

2012

Barca, L. and Pezzulo, G. (2012). Unfolding visual lexical decision in time. PLoS ONE, 7(4):e35932. [link]
Barca, L. and Pezzulo, G. (2012). Is visual lexical decision a dynamic and competitive process? No, if we look at reaction times. yes, if we study how it unfolds in time. In Front. Neurosci. Conf. Abstract: Neural Coding, Decision-Making & Integration in Time. [link]
Chersi, F. and Pezzulo, G. (2012). Using hippocampal-striatal loops for spatial navigation and goal-directed decision-making. Cognitive Processing, 13(1):125–129. [link] [pdf]
Dindo, H., Tona, G., Nivel, E., Pezzulo, G., Chella, A., and Thorisson, K. R. (2012). Simulation and anticipation as tools for coordinating with the future. In Chella et al., editors, Biologically Inspired Cognitive Architectures 2012, volume 196 of Advances in Intelligent Systems and Computing, pages 117–125. Springer Berlin Heidelberg. [pdf]
Pezzulo, G. and Ognibene, D. (2012). Proactive action preparation: Seeing action preparation as a continuous and proactive process. Motor Control, 16(3):386–424. [link] [pdf]
Pezzulo, G., Rigoli, F., Donnarumma, F., and Chersi, F. (2012). Hippocampal forward sweeps and the balance of goal-directed and habitual controllers: a Bayesian approach. Front. Neurosci. Conf. Abstr.: Neural Coding, Decision-Making & Integration in Time. [link]
Pezzulo, G. (2012). An active inference view of cognitive control. Frontiers in Psychology, 3:478. doi: 10.3389/fpsyg.2012.00478 [link][more]
Pezzulo, G. (2012). The interaction engine: a common pragmatic competence across linguistic and non-linguistic interactions. IEEE Transactions on Autonomous Mental Development, 4(2):105–123. [link][pdf]
Pezzulo, G. (2012) Re-founding cognitivism based on the cybernetic idea of goal-directed action. In: The Goals of Cognition. Essays in honour of Cristiano Castelfranchi, College Publications, London UK
Rigoli, F., Pavone, E. F., and Pezzulo, G. (2012). Aversive pavlovian responses aﬀect human instrumental motor performance. Front. Neurosci., 6:134. [link]

2011

Dindo, H., Zambuto, D., and Pezzulo, G. (2011). Motor simulation via coupled internal models using sequential monte carlo. In Proceedings of IJCAI 2011, pages 2113–2119. [pdf]
Butz, M. V. and Pezzulo, G. (2011). Anticipatory learning. In Encyclopedia of the Sciences of Learning. Springer. [link]
Chersi, F., Ferro, M., Pezzulo, G., and Pirrelli, V. (2011). Time, language and action - a uniﬁed long-term memory model for sensory-motor chains and word schemata. ERCIM News, 84:27–28. [link]
Gigliotta, O., Pezzulo, G., and Nolﬁ, S. (2011). Evolution of a predictive internal model in an embodied and situated agent. Theory in Biosciences, 130(4):259–276. [pdf]
Ognibene, D., Volpi, N. C., and Pezzulo, G. (2011). Learning to grasp information with your own hands. In Proceedings of TAROS.
Pezzulo, G., Barsalou, L., Cangelosi, A., Fischer, M., McRae, K., and Spivey, M. (2011). The mechanics of embodiment: A dialogue on embodiment and computational modeling. Frontiers in Psychology, 2(5):1–21. [link]
Pezzulo, G. and Rigoli, F. (2011). Planning in view of future needs: a bayesian model of anticipated motivation. In Proceedings of EuroCogsci 2011. [pdf]
Pezzulo, G. and Rigoli, F. (2011). The value of foresight: how prospection aﬀects decision-making. Front. Neurosci., 5(79). [link]
Pezzulo, G. (2011). Grounding procedural and declarative knowledge in sensorimotor anticipation. Mind and Language, 26(1):78–114. [pdf]
Pezzulo, G. (2011). Shared representations as coordination tools for interactions. Review of Philosophy and Psychology, 2(2):303–333. [pdf]
Pezzulo, G., Baldassarre, G., Cesta, A., and Nolﬁ, S. (2011). Research on cognitive robotics at the institute of cognitive sciences and technologies, national research council of italy. Cognitive Processing, 12(4):367–374. [pdf]
Rigoli, F., Pavone, E. F., and Pezzulo, G. (2011). Interaction of goal-directed and pavlovian systems in aversive domains. In Proceedings of CogSci 2011.
Pezzulo, G. and Butz, M. V. (2011). Schema-based architectures of machine learning. In Encyclopedia of the Sciences of Learning. Springer. [link]
Pezzulo, G. and Calvi, G. (2011). Computational explorations of perceptual symbol system theory. New Ideas in Psychology, 29(3):275–297. [more] [pdf]
Pezzulo, G. and Dindo, H. (2011). What should I do next? using shared representations to solve interaction problems. Experimental Brain Research, 211(3):613–630. [pdf]

2010

Barca, L., Pezzulo, G., and Castelli, E. (2010). Egocentric and allocentric spatial references in children with cerebral palsy. In Proceedings of the 2010 Annual Meeting of the Cognitive Science Society.
Castelfranchi, C., Pezzulo, G., and Tummolini, L. (2010). Behavioral implicit communication (BIC): Communicating with smart environments via our practical behavior and its traces. International Journal of Ambient Computing and Intelligence, 2(1):1–12.
Ferro, M., Ognibene, D., Pezzulo, G., and Pirrelli, V. (2010). Reading as active sensing: a computational model of gaze planning during word discrimination. Frontiers in Neurorobotics, 4(6). [link]
Ferro, M., Pezzulo, G., and Pirrelli, V. (2010). Morphology, memory and the mental lexicon. Lingue e Linguaggio, 2:199–238.
Gigliotta, O., Pezzulo, G., and Nolﬁ, S. (2010). Emergence of an internal model in evolving robots subjected to sensory deprivation. In Proceedings of SAB 2010.
Ognibene, D., Pezzulo, G., and Baldassare, G. (2010). How can bottom-up information shape learning of top-down attention control skills? In Proceedings of 9th International Conference on Development and Learning.
Ognibene, D., Pezzulo, G., and Baldassare, G. (2010). Learning to look in diﬀerent environments: An active-vision model which learns and readapts visual routines. In Proceedings of SAB 2010.
Pezzulo, G., Barca, L., Bocconi, A. L., and Borghi, A. M. (2010). Motor simulation in a memory task: Evidence from rock climbing. In Proceedings of the 2010 Annual Meeting of the Cognitive Science Society.
Pezzulo, G., Barca, L., Bocconi, A. L., and Borghi, A. M. (2010). When aﬀordances climb into your mind: Advantages of motor simulation in a memory task performed by novice and expert rock climbers. Brain and Cognition, 73(1):68–73. [pdf]

2009

- - - Gigliotta, O., Pezzulo, G., and Nolﬁ, S. (2009). How internal modeling arises when the world is not enough: an evolutionary robotics study. In Proceedings of Epirob 2009.
    - Pezzulo, G. (2009). Dipra: A layered agent architecture which integrates practical reasoning and sensorimotor schemas. Connection Science, 21(4):297–326. [more] [pdf]
    - Pezzulo, G. (2009). Exploiting MAS self-organization for distributed constraint satisfaction problems. International Transactions on Systems Science and Applications, 5:285–295.
    - Pezzulo, G., Borghi, A. M., Lamberti Bocconi, A., and Barca, L. (2009). Simulazione ed eﬀetto sul ricordo dei chunks motori: Uno studio su scalatori esperti e non esperti. In Proceedings of AIP 2009.
    - Pezzulo, G., Butz, M. V., Sigaud, O., and Baldassarre, G., editors (2009). Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artiﬁcial Cognitive Systems. LNAI 5499. Springer.
    - Pezzulo, G., Butz, M. V., Sigaud, O., and Baldassarre, G. (2009). From sensorimotor to higher level cognitive processes: an introduction to anticipatory behavior systems. In Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artiﬁcial Cognitive Systems, LNAI 5499. Springer.
    - Pezzulo, G. and Castelfranchi, C. (2009). Intentional action: from anticipation to goal-directed behavior. Psychological Research, 73(4):437–440. [pdf]
    - Pezzulo, G. and Castelfranchi, C. (2009). Thinking as the control of imagination: a conceptual framework for goal-directed systems. Psychological Research, 73(4):559–577. [pdf]

2008

- - - Pezzulo, G., Butz, M. V., Castelfranchi, C., and Falcone, R., editors (2008). The Challenge of Anticipation: A Unifying Framework for the Analysis and Design of Artiﬁcial Cognitive Systems. LNAI 5225. Springer.
    - Pezzulo, G. (2008) A Framework for Grounding a Robot's Knowledge in Sensorimotor Anticipations. Proceedings of CAOs: Concepts, Actions, and Objects: Functional and Neural Perspectives
    - Pezzulo, G. (2008) Coordinating with the Future: the Anticipatory Nature of Representation. Minds and Machines, 18, 179-225 [pdf]
    - Pezzulo, G. (2008) A Study of Off-Line Uses of Anticipation. Proceedings of SAB 2008, Springer, LNAI 5040, 372-382
    - Pezzulo, G.; Butz, M. V. & Castelfranchi, C. (2008) The Anticipatory Approach: Definitions and Taxonomies. In Pezzulo, G.; Butz, M. V.; Castelfranchi, C. & Falcone, R. (ed.) The Challenge of Anticipation: A Unifying Framework for the Analysis andDesign of Artificial Cognitive Systems, Springer-Verlag, 23-43
    - Pezzulo, G. & Castelfranchi, C. (2008) Two basic agreements and two doubts (commentary to Butz, How and Why the Brain Lays the Foundations for a Conscious Self), 4(1), 20-21

2007

- - - Butz, M. V., Sigaud, O., Pezzulo, G., and Baldassarre, G. (2007). Anticipations, brains, individual and social behavior: An introduction to anticipatory systems. In Butz, M. V., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors, Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, volume 4520 of LNAI. Springer.
    - Butz, M. V., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors (2007). Anticipatory Behavior in Adaptive Learning Systems, From Brains to Individual and Social Behavior, volume 4520 of LNAI. Springer.
    - Pezzulo, G. (2007). Anticipation and future-oriented capabilites in natural and artiﬁcial cognition. In 50 Years of AI, Festschrift, LNAI 4850, pages 258–271. [pdf]
    - Pezzulo, G. (2007). Commitment to explicitly reported choices: Evidence in decision making under uncertainty. In Proceedings of EuroCogsci 2007.
    - Pezzulo, G. (2007). Evolving a perceptual symbol system: a simulative study. In Proceedings of CAOs: Concepts, Actions, and Objects: Functional and Neural Perspectives.
    - Pezzulo, G. (2007). Exploiting mas self-organization for distributed constraint satisfaction problems. System and Information Sciences Notes, 2(1):52–57.
    - Pezzulo, G. (2007). Rappresentazione della conoscenza. In Bianchini, F., Gliozzo, A., and Matteuzzi, M., editors, Instrumentum Vocale. Bononia University Press.
    - Pezzulo, G., Baldassarre, G., Butz, M. V., Castelfranchi, C., and Hoﬀmann, J. (2007). From actions to goals and vice-versa: Theoretical analysis and models of the ideomotor principle and tote. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors, Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, LNAI 4520, pages 73–93. Springer. [pdf]
    - Pezzulo, G. and Calvi, G. (2007). Designing modular architectures in the framework akira. Multiagent and Grid Systems, 3(1):65–86. [pdf]
    - Pezzulo, G. and Calvi, G. (2007). Modulatory inﬂuence of motivations on a schemabased architecture: a simulative study. In Paiva, A. and Picard, R., editors, Proceedings of Aﬀective Computing & Intelligent Interaction, pages 374–385. [pdf]
    - Pezzulo, G. and Calvi, G. (2007). Schema-based design and the akira schema language: An overview. In Butz, M., Sigaud, O., Pezzulo, G., and Baldassarre, G., editors, Anticipatory Behavior in Adaptive Learning Systems: Advances in Anticipatory Processing, LNAI 4520. Springer. [more]
    - Pezzulo, G. and Castelfranchi, C. (2007). The symbol detachment problem. Cognitive Processing, 8(2):115–131. [more] [pdf]
    - Pezzulo, G., Calvi, G., and Castelfranchi, C. (2007). Dipra: Distributed practical reasoning architecture. In Proceedings of the Twentieth International Joint Conference on Artiﬁcial Intelligence, pages 1458–1464.
    - Pezzulo, G., Hoﬀmann, J., and Falcone, R. (2007). Anticipation and anticipatory behavior. Cognitive Processing, 8(2):67–70. [pdf]
    - Pezzulo, G., Hoﬀmann, J., and Falcone, R. (2007). Anticipation and anticipatory behavior: II. Cognitive Processing, 8(3):149–150. [pdf]
    - Pezzulo, G. (2007). Working Memory. Technical Report, ISTC-CNR.
    - Pezzulo, G. (2007). Schemas and schema-based architectures. Technical report, ISTC-CNR.

2006

- - - Calvi, G., Tutino, A., and Pezzulo, G. (2006). L’approccio anticipatorio in robotica: una analisi comparativa. In Atti del Secondo Workshop Italiano di Vita Artiﬁciale.
    - Ognibene, D., Mannella, F., Pezzulo, G., and Baldassarre, G. (2006). Integrating reinforcement learning, accumulator models, and motor-primitives to study action selection and reaching in monkeys. In Proceedings of ICCM 2006.
    - Pezzulo, G. (2006a). How can a massively modular mind be context-sensitive? a computational approach. In Proceedings of the International Conference on Cognitive Modeling. [pdf]
    - Pezzulo, G. (2006). Into the Gambler’s Frame of Mind: Decision Making under Uncertainty in the Two Cards Gambling Game. PhD thesis, University of Rome “La Sapienza”.
    - Pezzulo, G. (2006). L'informazione nella mente: rappresentazioni, categorie, concetti. In Couyoumdjian, A. and Del Miglio, C., editors, Manuale di Psicologia Generale, chapter 9. Borla, Roma.
    - Pezzulo, G. (2006). Rappresentazioni anticipatorie: Tre studi simulativi. In Proceedings of AISC 2006.
    - Pezzulo, G., Baldassarre, G., Falcone, R., and Castelfranchi, C. (2006). The anticipatory nature of representations. In Proceedings of the 50th Anniversary Summit of Artiﬁcial Intelligence.
    - Pezzulo, G. and Calvi, G. (2006). A schema based model of the praying mantis. In Nolﬁ, S., Baldassarre, G., Calabretta, R., Hallam, J., Marocco, D., Miglino, O., Meyer, J.-A., and Parisi, D., editors, From animals to animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behaviour, volume LNAI 4095, pages 211–223, Berlin, Germany. Springer Verlag. [more][pdf]
    - Pezzulo, G. and Calvi, G. (2006). Toward a perceptual symbol system. In Proceedings of the Sixth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems. Lund University Cognitive Science Studies 118.
    - Pezzulo, G. and Couyoumdjian, A. (2006). Ambiguity-reduction: a satisﬁcing criterion for decision making. In Proceedings of the 28th Annual Meeting of Cognitive Science Society, pages 669–674, Vancouver, Canada. [pdf]

2005

- - - Falcone, R., Pezzulo, G., Castelfranchi, C., and Calvi, G. (2005). Contract nets for evaluating agent trustworthiness. In Falcone, R., Barber, S., Sabater-Mir, J., and et al., editors, Trusting Agents for Trusting Electronic Societies: Theory and Applications in HCI and E-Commerce. Springer LNCS 3577.
    - Pezzulo, G. and Calvi, G. (2005). Designing and implementing mabs in akira. In Paul Davidsson, B. L. and Takadama, K., editors, Multi-Agent and Multi-Agent-Based Simulation: Joint Workshop MABS 2004, pages 49 – 64. Springer LNCS 3415.
    - Pezzulo, G. and Calvi, G. (2005). Distributed representations and ﬂexible modularity in hybrid architectures. In Proceedings of COGSCI 2005.
    - Pezzulo, G. and Calvi, G. (2005). Dynamic computation and context eﬀects in the hybrid architecture akira. In Anind Dey, Boicho Kokinov, D. L. and Turner, R., editors, Modeling and Using Context: 5th International and Interdisciplinary Conference CONTEXT 2005, pages 368 – 381. Springer LNAI 3554. [more]
    - Pezzulo, G., Calvi, G., and Falcone, R. (2005). Integrating a mas and a pandemonium: the open-source framework akira. In Proceedings of AAMAS 2005.
    - Pezzulo, G., Calvi, G., Ognibene, D., and Lalia, D. (2005). Fuzzy-based schema mechanisms in akira. In CIMCA ’05: Proceedings of the International Conference on Computational Intelligence for Model ling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2, pages 146–152, Washington, DC, USA. IEEE Computer Society.

2004

- - - Falcone, R., Pezzulo, G., Castelfranchi, C., and Calvi, G. (2004). Trusting the agents and the environment leads to successful delegation: a contract net simulation. In Falcone, R., Barber, S., Sabater, J., and Singh, M., editors, Proceedings of the 7th International Workshop on Trust in Agent Societies c/o the Autonomous Agents and Multi-Agent Systems Conference, pages 33–39, New York.
    - Falcone, R., Pezzulo, G., Castelfranchi, C., and Calvi, G. (2004). Why a cognitive trustier performs better: Simulating trust-based contract nets. In Proceedings of the 3rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-04), pages 1392–1393, New York, ACM.
    - Pezzulo, G. and Calvi, G. (2004). A pandemonium can have goals. In Earlbaum, L., editor, Proceedings of the Sixth International Conference on Cognitive Modeling, pages 237–242, Mahwah, NJ. [pdf]
    - Pezzulo, G., Lorini, E., and Calvi, G. (2004). How do i know how much i don’t know? a cognitive approach about uncertainty and ignorance. In Proceedings of the 26th Annual Meeting of Cognitive Science Society (CogSci 2004), pages 1095–1100, Chicago, USA.
    - Pezzulo, G. and Gangemi, A. (2004) Analyzing plans through image schemas and descriptions. In Proceedings of FOIS 2004.

2003

- - - Castelfranchi, C., Falcone, R., and Pezzulo, G. (2003). Belief sources for trust: Some learning mechanisms. In Proceedings of the Sixth International Workshop on Trust, Privacy, Deception and Fraud in Agent Systems c/o AAMAS-03, pages 101–106, Melburne (Australia).
    - Castelfranchi, C., Falcone, R., and Pezzulo, G. (2003). Cooperating through a belief-based trust computation. In Proceedings of WETICE’03.
    - Castelfranchi, C., Falcone, R., and Pezzulo, G. (2003). Trust in information sources as source of trust: A fuzzy approach. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems, pages 89–96, Melburne (Australia). Melburne, ACM.
    - Falcone, R., Castelfranchi, C., and Pezzulo, G. (2003). Integrating trustfulness and decision using fuzzy cognitive maps. In Nixon P., T. S., editor, Trust Management, Proceedings of the ﬁrst International Conference, pages 195–210. Springer LNCS 2692.
    - Falcone, R., Pezzulo, G., and Castelfranchi, C. (2003). A fuzzy approach to a belief-based trust computation. In et al., F., editor, Trust, Reputation and Security: Theories and Practice, pages 73–86. Springer LNAI 2631.

2002

- - - - Falcone, R., Pezzulo, G., and Castelfranchi, C. (2002). Quantifying belief credibility for trust-based decision. In Falcone, et al., editors, Proceedings of the AAMAS-02 Workshop on Deception, Fraud and Trust in Agent Societies, pages 41–48.
      - Magnini, B., Strapparava, C., Pezzulo, G., and Gliozzo, A. (2002). The role of domain information in word sense disambiguation. Natural Language Engineering, 8(4):359–373. [pdf]
      - Petrelli, D., Pezzulo, G., and Baggio, D. (2002). Adaptive hypertext design environments: Putting principles into practice. In P. Brusilovsky, O. Stock, C. S., editor, Proc. of International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems, pages 202–213. Springer.

2001

- - - - Magnini, B., Strapparava, C., Pezzulo, G., and Gliozzo, A. (2001). Using domain information for word sense disambiguation. In Proceedings of SENSEVAL-2: Second International Workshop on Evaluating Word Sense Disambiguation Systems, Toulouse. [pdf]

1999

- - - - Pezzulo, G. (1999). Il continuum percezione - rappresentazione - spiegazione. Nuova Civilta' delle Macchine, 1:72–91.

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