Adaptive Hypertext Design Environments: Putting Principles into Practice. - Daniela Petrelli; Daniele Baggio; Giovanni Pezzulo (AH, 2000)

Using Domain Information for Word Sense Disambiguation. - Bernardo Magnini; Carlo Strapparava; Giovanni Pezzulo; Alfio Gliozzo (SENSEVAL@ACL, 2001)

A Fuzzy Approach to a Belief-Based Trust Computation. - Rino Falcone; Giovanni Pezzulo; Cristiano Castelfranchi (Trust, Reputation, and Security, 2002)

The role of domain information in Word Sense Disambiguation. - Bernardo Magnini; Carlo Strapparava; Giovanni Pezzulo; Alfio Massimiliano Gliozzo (Nat. Lang. Eng., 2002)

Trust in information sources as a source for trust: a fuzzy approach. - Cristiano Castelfranchi; Rino Falcone; Giovanni Pezzulo (AAMAS, 2003)

Integrating Trustfulness and Decision Using Fuzzy Cognitive Maps. - Cristiano Castelfranchi; Rino Falcone; Giovanni Pezzulo (iTrust, 2003)

Cooperating through a Belief-based Trust Computation. - Cristiano Castelfranchi; Rino Falcone; Giovanni Pezzulo (WETICE, 2003)

Why a Cognitive Trustier Performs Better: Simulating Trust-Based Contract Nets. - Rino Falcone; Giovanni Pezzulo; Cristiano Castelfranchi; Gianguglielmo Calvi (AAMAS, 2004)

Contract Nets for Evaluating Agent Trustworthiness. - Rino Falcone; Giovanni Pezzulo; Cristiano Castelfranchi; Gianguglielmo Calvi (Trusting Agents for Trusting Electronic Societies, 2004)

A Pandemonium Can Have Goals. - Giovanni Pezzulo; Gianguglielmo Calvi (ICCM, 2004)

Designing and Implementing MABS in AKIRA. - Giovanni Pezzulo; Gianguglielmo Calvi (MABS, 2004)

Integrating a MAS and a Pandemonium: the open-source framework AKIRA. - Giovanni Pezzulo; Gianguglielmo Calvi; Rino Falcone (AAMAS, 2005)

Fuzzy-based Schema Mechanisms in AKIRA. - Giovanni Pezzulo; Dimitri Ognibene; Gianguglielmo Calvi; Daniela Lalia (CIMCA/IAWTIC, 2005)

Dynamic Computation and Context Effects in the Hybrid Architecture AKIRA. - Giovanni Pezzulo; Gianguglielmo Calvi (CONTEXT, 2005)

Anticipation and Future-Oriented Capabilities in Natural and Artificial Cognition. - Giovanni Pezzulo (50 Years of Artificial Intelligence, 2006)

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems. - Martin V. Butz; Olivier Sigaud; Giovanni Pezzulo; Gianluca Baldassarre (SAB ABiALS, 2006)

From Actions to Goals and Vice-Versa: Theoretical Analysis and Models of the Ideomotor Principle and TOTE. - Giovanni Pezzulo; Gianluca Baldassarre; Martin V. Butz; Cristiano Castelfranchi; Joachim Hoffmann (SAB ABiALS, 2006)

A Schema Based Model of the Praying Mantis. - Giovanni Pezzulo; Gianguglielmo Calvi (SAB, 2006)

Schema-Based Design and the AKIRA Schema Language: An Overview. - Giovanni Pezzulo; Gianguglielmo Calvi (SAB ABiALS, 2006)

Modulatory Influence of Motivations on a Schema-Based Architecture: A Simulative Study. - Giovanni Pezzulo; Gianguglielmo Calvi (ACII, 2007)

DiPRA: Distributed Practical Reasoning Architecture. - Giovanni Pezzulo; Gianguglielmo Calvi; Cristiano Castelfranchi (IJCAI, 2007)

The symbol detachment problem. - Giovanni Pezzulo; Cristiano Castelfranchi (Cogn. Process., 2007)

Anticipation and anticipatory behavior. - Giovanni Pezzulo; Joachim Hoffmann; Rino Falcone (Cogn. Process., 2007)

Anticipation and anticipatory behavior: II. - Giovanni Pezzulo; Joachim Hoffmann; Rino Falcone (Cogn. Process., 2007)

Designing modular architectures in the framework AKIRA. - Giovanni Pezzulo; Gianguglielmo Calvi (Multiagent Grid Syst., 2007)

From Sensorimotor to Higher-Level Cognitive Processes: An Introduction to Anticipatory Behavior Systems. - Giovanni Pezzulo; Martin V. Butz; Olivier Sigaud; Gianluca Baldassarre (ABiALS, 2008)

A Study of Off-Line Uses of Anticipation. - Giovanni Pezzulo (SAB, 2008)

Coordinating with the Future: The Anticipatory Nature of Representation. - Giovanni Pezzulo (Minds Mach., 2008)

Anticipatory, Goal-Directed Behavior. - Martin V. Butz; Oliver Herbort; Giovanni Pezzulo (The Challenge of Anticipation, 2008)

Benefits of Anticipations in Cognitive Agents. - Martin V. Butz; Giovanni Pezzulo (The Challenge of Anticipation, 2008)

The Anticipatory Approach: Definitions and Taxonomies. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi (The Challenge of Anticipation, 2008)

Introduction: Anticipation in Natural and Artificial Cognition. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi; Rino Falcone (The Challenge of Anticipation, 2008)

Endowing Artificial Systems with Anticipatory Capabilities: Success Cases. - Giovanni Pezzulo; Martin V. Butz; Cristiano Castelfranchi; Rino Falcone; Gianluca Baldassarre; Christian Balkenius; Alexander Förster; Maurice Grinberg; Oliver Herbort; Kiril Kiryazov; Boicho N. Kokinov; Birger Johansson; et al. (The Challenge of Anticipation, 2008)

DiPRA: a layered agent architecture which integrates practical reasoning and sensorimotor schemas. - Giovanni Pezzulo (Connect. Sci., 2009)

How can bottom-up information shape learning of top-down attention-control skills? - Dimitri Ognibene; Giovanni Pezzulo; Gianluca Baldassarre (ICDL, 2010)

Emergence of an Internal Model in Evolving Robots Subjected to Sensory Deprivation. - Onofrio Gigliotta; Giovanni Pezzulo; Stefano Nolfi (SAB, 2010)

Learning to Look in Different Environments: An Active-Vision Model Which Learns and Readapts Visual Routines. - Dimitri Ognibene; Giovanni Pezzulo; Gianluca Baldassarre (SAB, 2010)

Reading as active sensing: a computational model of gaze planning during word recognition. - Marcello Ferro; Dimitri Ognibene; Giovanni Pezzulo; Vito Pirrelli (Frontiers Neurorobotics, 2010)

Behavioral Implicit Communication (BIC): Communicating with Smart Environments. - Cristiano Castelfranchi; Giovanni Pezzulo; Luca Tummolini (Int. J. Ambient Comput. Intell., 2010)

Interaction of goal-directed and Pavlovian systems in aversive domains. - Francesco Rigoli; Enea Francesco Pavone; Giovanni Pezzulo (CogSci, 2011)

Motor Simulation via Coupled Internal Models Using Sequential Monte Carlo. - Haris Dindo; Daniele Zambuto; Giovanni Pezzulo (IJCAI, 2011)

Learning to Grasp Information with Your Own Hands. - Dimitri Ognibene; Nicola Catenacci Volpi; Giovanni Pezzulo (TAROS, 2011)

Research on cognitive robotics at the Institute of Cognitive Sciences and Technologies, National Research Council of Italy. - Giovanni Pezzulo; Gianluca Baldassarre; Amedeo Cesta; Stefano Nolfi (Cogn. Process., 2011)

Time, Language and Action - A Unified Long-Term Memory Model for Sensory-Motor Chains and Word Schemata. - Fabian Chersi; Marcello Ferro; Giovanni Pezzulo; Vito Pirrelli (ERCIM News, 2011)

Evolution of a predictive internal model in an embodied and situated agent. - Onofrio Gigliotta; Giovanni Pezzulo; Stefano Nolfi (Theory Biosci., 2011)

Erratum to: Evolution of a predictive internal model in an embodied and situated agent. - Onofrio Gigliotta; Giovanni Pezzulo; Stefano Nolfi (Theory Biosci., 2011)

Simulation and Anticipation as Tools for Coordinating with the Future. - Haris Dindo; Giuseppe La Tona; Eric Nivel; Giovanni Pezzulo; Antonio Chella; Kristinn R. Thórisson (BICA, 2012)

Using hippocampal-striatal loops for spatial navigation and goal-directed decision-making. - Fabian Chersi; Giovanni Pezzulo (Cogn. Process., 2012)

The "Interaction Engine": A Common Pragmatic Competence Across Linguistic and Nonlinguistic Interactions. - Giovanni Pezzulo (IEEE Trans. Auton. Ment. Dev., 2012)

Active Bayesian perception and reinforcement learning. - Nathan F. Lepora; Uriel Martinez-Hernandez; Giovanni Pezzulo; Tony J. Prescott (IROS, 2013)

Learning Epistemic Actions in Model-Free Memory-Free Reinforcement Learning: Experiments with a Neuro-robotic Model. - Dimitri Ognibene; Nicola Catenacci Volpi; Giovanni Pezzulo; Gianluca Baldassarre (Living Machines, 2013)

Mental imagery in the navigation domain: a computational model of sensory-motor simulation mechanisms. - Fabian Chersi; Francesco Donnarumma; Giovanni Pezzulo (Adapt. Behav., 2013)

Bounded Recursive Self-Improvement. - Eric Nivel; Kristinn R. Thórisson; Bas R. Steunebrink; Haris Dindo; Giovanni Pezzulo; Manuel Rodríguez 003; Carlos Hernández 001; Dimitri Ognibene; Jürgen Schmidhuber; Ricardo Sanz; Helgi Páll Helgason; Antonio Chella; et al. (CoRR, 2013)

Bounded Seed-AGI. - Eric Nivel; Kristinn R. Thórisson; Bas R. Steunebrink; Haris Dindo; Giovanni Pezzulo; Manuel Rodríguez 003; Carlos Hernández 001; Dimitri Ognibene; Jürgen Schmidhuber; Ricardo Sanz; Helgi Páll Helgason; Antonio Chella (AGI, 2014)

How active perception and attractor dynamics shape perceptual categorization: A computational model. - Nicola Catenacci Volpi; Jean-Charles Quinton; Giovanni Pezzulo (Neural Networks, 2014)

Topological Self-Organization and Prediction Learning Support Both Action and Lexical Chains in the Brain. - Fabian Chersi; Marcello Ferro; Giovanni Pezzulo; Vito Pirrelli (Top. Cogn. Sci., 2014)

The Cat is on the Mat. or is it a Dog? Dynamic Competition in Perceptual Decision Making. - Jean-Charles Quinton; Nicola Catenacci Volpi; Laura Barca; Giovanni Pezzulo (IEEE Trans. Syst. Man Cybern. Syst., 2014)

The intentional stance as structure learning: a computational perspective on mindreading. - Haris Dindo; Francesco Donnarumma; Fabian Chersi; Giovanni Pezzulo (Biol. Cybern., 2015)

A Programmer-Interpreter Neural Network Architecture for Prefrontal Cognitive Control. - Francesco Donnarumma; Roberto Prevete; Fabian Chersi; Giovanni Pezzulo (Int. J. Neural Syst., 2015)

Embodied Choice: How Action Influences Perceptual Decision Making. - Nathan F. Lepora; Giovanni Pezzulo (PLoS Comput. Biol., 2015)

Learning programs is better than learning dynamics: A programmable neural network hierarchical architecture in a multi-task scenario. - Francesco Donnarumma; Roberto Prevete; Andrea de Giorgio; Guglielmo Montone; Giovanni Pezzulo (Adapt. Behav., 2016)

Nonparametric Problem-Space Clustering: Learning Efficient Codes for Cognitive Control Tasks. - Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo (Entropy, 2016)

Prefrontal Goal Codes Emerge as Latent States in Probabilistic Value Learning. - Ivilin Peev Stoianov; Aldo Genovesio; Giovanni Pezzulo (J. Cogn. Neurosci., 2016)

Problem Solving as Probabilistic Inference with Subgoaling: Explaining Human Successes and Pitfalls in the Tower of Hanoi. - Francesco Donnarumma; Domenico Maisto; Giovanni Pezzulo (PLoS Comput. Biol., 2016)

You cannot speak and listen at the same time: a probabilistic model of turn-taking. - Francesco Donnarumma; Haris Dindo; Pierpaolo Iodice; Giovanni Pezzulo (Biol. Cybern., 2017)

Model-Based Approaches to Active Perception and Control. - Giovanni Pezzulo; Francesco Donnarumma; Pierpaolo Iodice; Domenico Maisto; Ivilin Peev Stoianov (Entropy, 2017)

Active Inference: A Process Theory. - Karl John Friston; Thomas H. B. FitzGerald; Francesco Rigoli; Philipp Schwartenbeck; Giovanni Pezzulo (Neural Comput., 2017)

Active Inference, Curiosity and Insight. - Karl J. Friston; Marco Lin; Christopher D. Frith; Giovanni Pezzulo; J. Allan Hobson; Sasha Ondobaka (Neural Comput., 2017)

Model-based spatial navigation in the hippocampus-ventral striatum circuit: A computational analysis. - Ivilin Peev Stoianov; Cyriel M. A. Pennartz; Carien Lansink; Giovanni Pezzulo (PLoS Comput. Biol., 2018)

Sensorimotor Communication for Humans and Robots: Improving Interactive Skills by Sending Coordination Signals. - Francesco Donnarumma; Haris Dindo; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2018)

Haptic communication optimises joint decisions and affords implicit confidence sharing. - Giovanni Pezzulo; Lucas Roche; Ludovic Saint-Bauzel (CoRR, 2019)

Making the Environment an Informative Place: A Conceptual Analysis of Epistemic Policies and Sensorimotor Coordination. - Giovanni Pezzulo; Stefano Nolfi (Entropy, 2019)

Caching mechanisms for habit formation in Active Inference. - Domenico Maisto; Karl J. Friston; Giovanni Pezzulo (Neurocomputing, 2019)

Moral decisions in the age of COVID-19: your choices really matter. - Francesco Donnarumma; Giovanni Pezzulo (CoRR, 2020)

Active Tree Search in Large POMDPs. - Domenico Maisto; Francesco Gregoretti; Karl J. Friston; Giovanni Pezzulo (CoRR, 2021)

Predictive Processing in Cognitive Robotics: A Review. - Alejandra Ciria; Guido Schillaci; Giovanni Pezzulo; Verena V. Hafner; Bruno Lara 001 (Neural Comput., 2021)

Active inference through whiskers. - Francesco Mannella; Federico Maggiore; Manuel Baltieri; Giovanni Pezzulo (Neural Networks, 2021)

Active inference, morphogenesis, and computational psychiatry. - Léo Pio-Lopez; Franz Kuchling; Angela Tung; Giovanni Pezzulo; Michael Levin 001 (Frontiers Comput. Neurosci., 2022)

Active inference unifies intentional and conflict-resolution imperatives of motor control. - Antonella Maselli; Pablo Lanillos; Giovanni Pezzulo (PLoS Comput. Biol., 2022)

Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments. - Toon Van de Maele; Bart Dhoedt; Tim Verbelen; Giovanni Pezzulo (IWAI, 2023)

Integrating large language models and active inference to understand eye movements in reading and dyslexia. - Francesco Donnarumma; Mirco Frosolone; Giovanni Pezzulo (CoRR, 2023)

Humans account for cognitive costs when finding shortcuts: An information-theoretic analysis of navigation. - Gian Luca Lancia; Mattia Eluchans; Marco D'Alessandro; Hugo J. Spiers; Giovanni Pezzulo (PLoS Comput. Biol., 2023)

Skilled motor control of an inverted pendulum implies low entropy of states but high entropy of actions. - Nicola Catenacci Volpi; Martin Greaves; Dari Trendafilov; Christoph Salge; Giovanni Pezzulo; Daniel Polani (PLoS Comput. Biol., 2023)

World models and predictive coding for cognitive and developmental robotics: frontiers and challenges. - Tadahiro Taniguchi; Shingo Murata; Masahiro Suzuki; Dimitri Ognibene; Pablo Lanillos; Emre Ugur; Lorenzo Jamone; Tomoaki Nakamura; Alejandra Ciria; Bruno Lara 001; Giovanni Pezzulo (Adv. Robotics, 2023)

Strategic Task Decomposition in Joint Action. - Jeremy Gordon 001; Günther Knoblich; Giovanni Pezzulo (Cogn. Sci., 2023)

Learning and Embodied Decisions in Active Inference. - Matteo Priorelli; Ivilin Peev Stoianov; Giovanni Pezzulo (IWAI, 2024)

The geometry of efficient codes: how rate-distortion trade-offs distort the latent representations of generative models. - Leo D'Amato; Gian Luca Lancia; Giovanni Pezzulo (CoRR, 2024)

Needing: An Active Inference Process for Physiological Motivation. - Juvenal Bosulu; Giovanni Pezzulo; Sébastien Hétu (J. Cogn. Neurosci., 2024)

cpp-AIF: A multi-core C++ implementation of Active Inference for Partially Observable Markov Decision Processes. - Francesco Gregoretti; Giovanni Pezzulo; Domenico Maisto (Neurocomputing, 2024)

Interactive Inference: A Multi-Agent Model of Cooperative Joint Actions. - Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Modeling Motor Control in Continuous Time Active Inference: A Survey. - Matteo Priorelli; Federico Maggiore; Antonella Maselli; Francesco Donnarumma; Domenico Maisto; Francesco Mannella; Ivilin Peev Stoianov; Giovanni Pezzulo (IEEE Trans. Cogn. Dev. Syst., 2024)

Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis. - Mirco Frosolone; Roberto Prevete; Lorenzo Ognibeni; Salvatore Giugliano; Andrea Apicella 001; Giovanni Pezzulo; Francesco Donnarumma (Sensors, 2024)

Active inference tree search in large POMDPs. - Domenico Maisto; Francesco Gregoretti; Karl J. Friston; Giovanni Pezzulo (Neurocomputing, 2025)

Learning to segment self-generated from externally caused optic flow through sensorimotor mismatch circuits. - Matthias Brucklacher; Giovanni Pezzulo; Francesco Mannella; Gaspare Galati 002; Cyriel M. A. Pennartz (Neural Networks, 2025)

Meta-Reinforcement Learning reconciles surprise, value, and control in the anterior cingulate cortex. - Tim Vriens; Eliana Vassena; Giovanni Pezzulo; Gianluca Baldassarre; Massimo Silvetti (PLoS Comput. Biol., 2025)

Active Digital Twins via Active Inference. - Matteo Torzoni; Domenico Maisto; Andrea Manzoni; Francesco Donnarumma; Giovanni Pezzulo; Alberto Corigliano (CoRR, 2025)