M. Mirolli

M. Mirolli, A. Raffone, L. Simione, 2022, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).

Attentional Bias for Sleep-Related Words as a Function of Severity of Insomnia Symptoms

M. Mirolli, L. Simione, M. Fabbri, 2022, Brain sciences.

Exploration and learning in capuchin monkeys (Sapajus spp.): the role of action–outcome contingencies

E. Visalberghi, E. Guglielmelli, G. Baldassarre, 2014, Animal Cognition.

Intrinsically Motivated Learning in Natural and Artificial Systems

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013 .

Two examples of active categorisation processes distributed over time

Stefano Nolfi, Elio Tuci, Marco Mirolli, 2009, EpiRob.

Notulae seminologicae. 5. Mathematical evaluation of interdependent submicroscopic sperm alterations.

M. Mirolli, P. Piomboni, G. Collodel, 1995, Journal of andrology.

Mathematical evaluation of interdependent submicroscopic sperm alterations

M. Mirolli, P. Piomboni, G. Collodel, 1995 .

Notulae Seminologicae. 4. Mathematical evaluation of submicroscopical alterations in spermatozoa of sterile men with varicocele

M. Mirolli, P. Piomboni, G. Collodel, 2009, Andrologia.

Notulae seminologicae 3. Mathematical diagnosis from TEM seminological detection

M. Mirolli, B. Baccetti, 2009, Andrologia.

Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot

Raymond J. Dolan, Francesco Mannella, Karl J. Friston, 2014, Front. Psychol..

Evolution of Communication and Language in Embodied Agents

Stefano Nolfi, Marco Mirolli, S. Nolfi, 2009 .

Evolution, Complexity and Artificial Life

Stefano Cagnoni, Marco Villani, Marco Mirolli, 2014, Springer Berlin Heidelberg.

Nonhuman gamblers: lessons from rodents, primates, and robots

D. Parisi, M. Mirolli, F. Paglieri, 2014, Front. Behav. Neurosci..

Producer Biases and Kin Selection in the Evolution of Communication - How the Phylogenetic and the Adaptive Problems of Communication Can Be Solved

Domenico Parisi, Marco Mirolli, D. Parisi, 2010, Evolution of Communication and Language in Embodied Agents.

How Producer Biases Can Favor the Evolution of Communication: An Analysis of Evolutionary Dynamics

Domenico Parisi, Marco Mirolli, D. Parisi, 2008, Adapt. Behav..

How can we explain the emergence of a language that benefits the hearer but not the speaker?

Domenico Parisi, Marco Mirolli, D. Parisi, 2005, Connect. Sci..

Computational and Robotic Models of the Hierarchical Organization of Behavior: An Overview

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Computational and Robotic Models of the Hierarchical Organization of Behavior.

General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2018, PLoS Comput. Biol..

Acceptance, and Not Its Interaction with Attention Monitoring, Increases Psychological Well-Being: Testing the Monitor and Acceptance Theory of Mindfulness

M. Mirolli, A. Raffone, L. Simione, 2021, Mindfulness.

Intrinsically motivated action-outcome learning and goal-based action recall: a system-level bio-constrained computational model.

Francesco Mannella, Kevin Gurney, Peter Redgrave, 2013, Neural networks : the official journal of the International Neural Network Society.

The "Mechatronic Board": A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots

Francesco Mannella, Domenico Formica, Maria Scorcia, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Phasic dopamine as a prediction error of intrinsic and extrinsic reinforcements driving both action acquisition and reward maximization: A simulated robotic study

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2013, Neural Networks.

Artificial Organisms That Sleep

Domenico Parisi, Marco Mirolli, D. Parisi, 2003, ECAL.

Autonomous selection of the “what” and the “how” of learning: An intrinsically motivated system tested with a two armed robot

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2014, 4th International Conference on Development and Learning and on Epigenetic Robotics.

Which is the best intrinsic motivation signal for learning multiple skills?

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2013, Front. Neurorobot..

Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot

Marco Mirolli, Gianluca Baldassarre, Massimiliano Schembri, 2007, ECAL.

Evolving Childhood's Length and Learning Parameters in an Intrinsically Motivated Reinforcement Learning Robot

Marco Mirolli, Gianluca Baldassarre, Massimiliano Schembri, 2007 .

Intrinsically Motivated Learning Systems: An Overview

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

The Relationship between Acceptance and Sleep–Wake Quality before, during, and after the First Italian COVID-19 Lockdown

M. Mirolli, L. Simione, M. Fabbri, 2022, Clocks & sleep.

Accept Anxiety to Improve Sleep: The Impact of the COVID-19 Lockdown on the Relationships between Mindfulness, Distress, and Sleep Quality

M. Mirolli, L. Simione, M. Fabbri, 2021, International journal of environmental research and public health.

Language as a Cognitive Tool

Domenico Parisi, Marco Mirolli, D. Parisi, 2009, Minds and Machines.

Biological Cumulative Learning through Intrinsic Motivations: A Simulated Robotic Study on the Development of Visually-Guided Reaching

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2010, EpiRob.

Functions and Mechanisms of Intrinsic Motivations

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent

Marco Mirolli, M. Mirolli, 2012, Cogn. Sci..

Functions and Mechanisms of Intrinsic Motivations The Knowledge Versus Competence Distinction

G. Baldassarre, M. Mirolli, 2012 .

Cumulative Learning Through Intrinsic Reinforcements

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2014, Evolution, Complexity and Artificial Life.

TALKING TO ONESELF AS A SELECTIVE PRESSURE FOR THE EMERGENCE OF LANGUAGE

Domenico Parisi, Marco Mirolli, D. Parisi, 2006 .

A Synthetic Approach to the Study of the Evolution of Communication and Language

Stefano Nolfi, Marco Mirolli, S. Nolfi, 2010, Evolution of Communication and Language in Embodied Agents.

A Computational Model of the Amygdala Nuclei's Role in Second Order Conditioning

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2008, SAB.

Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM)

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Intrinsically Motivated Learning in Natural and Artificial Systems.

The roles of the amygdala in the affective regulation of body, brain, and behaviour

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2010, Connect. Sci..

A Reinforcement Learning Architecture That Transfers Knowledge Between Skills When Solving Multiple Tasks

Paolo Tommasino, Marco Mirolli, Daniele Caligiore, 2019, IEEE Transactions on Cognitive and Developmental Systems.

Evolving Communication in Embodied Agents: Theory, Methods, and Evaluation

Stefano Nolfi, Marco Mirolli, S. Nolfi, 2010, Evolution of Communication and Language in Embodied Agents.

Embodied and Communicating Agents: Towards the Establishment of a Solid Theoretical and Methodological Framework

Stefano Nolfi, Marco Mirolli, S. Nolfi, 2010, Evolution of Communication and Language in Embodied Agents.

A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning.

Giovanni Pezzulo, Marco Mirolli, Gianluca Baldassarre, 2013, Neural networks : the official journal of the International Neural Network Society.

Dynamics of Personality: The Zurich Model of Motivation Revived, Extended, and Applied to Personality.

M. Mirolli, M. Quirin, D. Paudel, 2022, Journal of personality.

Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approach

Cristiano Castelfranchi, Luca Tummolini, Marco Mirolli, 2009, Multi-Agent Systems.

Categorisation through evidence accumulation in an active vision system

Stefano Nolfi, Marco Mirolli, Tomassino Ferrauto, 2010, Connect. Sci..

Intrinsic motivation mechanisms for competence acquisition

Marco Mirolli, Gianluca Baldassarre, Vieri G. Santucci, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

Computational and Robotic Models of the Hierarchical Organization of Behavior

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2013, Springer Berlin Heidelberg.

WHO IS THE LEADER? DYNAMIC ROLE ALLOCATION THROUGH COMMUNICATION IN A POPULATION OF HOMOGENEOUS ROBOTS

Stefano Nolfi, Marco Mirolli, Onofrio Gigliotta, 2009 .

Communication based dynamic role allocation in a group of homogeneous robots

S. Nolfi, M. Mirolli, Onofrio Gigliotta, 2014, Natural Computing.

Evolution of Communication-Based Collaborative Behavior in Homogeneous Robots

Marco Mirolli, Onofrio Gigliotta, M. Mirolli, 2014, ALIFE.

General differential Hebbian learning: Capturing temporal relations between events in neural networks and the brain

G. Baldassarre, M. Mirolli, Francesco Mannella, 2018, PLoS Comput. Biol..

A NEURAL-NETWORK MODEL OF THE DYNAMICS OF HUNGER, LEARNING, AND ACTION VIGOR IN MICE

Domenico Parisi, Marco Mirolli, Gianluca Baldassarre, 2009 .

LANGUAGE AS AN AID TO CATEGORIZATION: A NEURAL NETWORK MODEL OF EARLY LANGUAGE ACQUISITION

Domenico Parisi, Marco Mirolli, D. Parisi, 2005 .

Reinforcement learning algorithms that assimilate and accommodate skills with multiple tasks

Paolo Tommasino, Marco Mirolli, Daniele Caligiore, 2012, 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL).

A Bioinspired Hierarchical Reinforcement Learning Architecture for Modeling Learning of Multiple Skills with Continuous States and Actions

Domenico Parisi, Marco Mirolli, Daniele Caligiore, 2010, EpiRob.

Corticolimbic catecholamines in stress: a computational model of the appraisal of controllability

R. Dolan, G. Baldassarre, M. Mirolli, 2014, Brain Structure and Function.

A spiking neuron model of the cortico-basal ganglia circuits for goal-directed and habitual action learning.

G. Pezzulo, G. Baldassarre, M. Mirolli, 2013, Neural networks : the official journal of the International Neural Network Society.

Representations in Dynamical Embodied Agents: Re-Analyzing a Minimally Cognitive Model Agent

M. Mirolli, 2012, Cogn. Sci..

Steps Towards Artificial Consciousness: A Robot's Knowledge of Its Own Body

Domenico Parisi, Marco Mirolli, D. Parisi, 2007, AAAI Fall Symposium: AI and Consciousness.

A naturalistic perspective on intentionality. Interview with Daniel Dennett

D. Dennett, M. Mirolli, 2002 .