Marco Mirolli

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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.

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.

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.

Evolving Communication in Embodied Agents: Assessment and Open Challenges

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

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..

Communication based dynamic role allocation in a group of homogeneous robots

Stefano Nolfi, Marco Mirolli, Onofrio Gigliotta, 2014, Natural Computing.

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.

Functions and Mechanisms of Intrinsic Motivations

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

The society in the mind (through language)

Marco Mirolli, Domenico Parisi, 2011 .

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.

Intrinsically Motivated Learning Systems: An Overview

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

The IM-CLeVeR Project : Intrinsically Motivated Cumulative Learning Versatile Robots

Julian Togelius, Francesco Mannella, Jürgen Schmidhuber, 2009 .

Evolution and Learning in an Intrinsically Motivated Reinforcement Learning Robot

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

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..

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).

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

Marco Mirolli, Gianluca Baldassarre, Massimiliano Schembri, 2007 .

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.

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.

Stigmergic Cues and Their Uses in Coordination: An Evolutionary Approach

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

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..

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

Stefano Nolfi, Marco Mirolli, Onofrio Gigliotta, 2009 .

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).

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

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

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

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

Artificial Organisms That Sleep

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

Two examples of active categorisation processes distributed over time

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

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.

Evolution of Communication-Based Collaborative Behavior in Homogeneous Robots

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

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

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

GRAIL: A Goal-Discovering Robotic Architecture for Intrinsically-Motivated Learning

Marco Mirolli, Gianluca Baldassarre, Vieri Giuliano Santucci, 2016, IEEE Transactions on Cognitive and Developmental Systems.

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

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

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.

Intrinsically Motivated Learning in Natural and Artificial Systems

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

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

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

Categorisation through evidence accumulation in an active vision system

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

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.

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.

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.

Evolution of Communication and Language in Embodied Agents

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

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..

Computational and Robotic Models of the Hierarchical Organization of Behavior

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

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.

Evolution, Complexity and Artificial Life

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

Cumulative Learning Through Intrinsic Reinforcements

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

Language as a Cognitive Tool

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

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

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

The Emergence of Language: How to Simulate It

Marco Mirolli, Domenico Parisi, D. Parisi, 2007 .

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

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2014, Brain Structure and Function.

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

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

A mechatronic platform for behavioral analysis on nonhuman primates.

Domenico Formica, Eugenio Guglielmelli, Valentina Truppa, 2012, Journal of integrative neuroscience.

What are the Key Open Challenges for Understanding Autonomous Cumulative Learning of Skills ?

Marco Mirolli, Gianluca Baldassarre, G. Baldassarre, 2010 .

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

Domenico Parisi, Marco Mirolli, Gianluca Baldassarre, 2009 .

A system-level neural model of the brain mechanisms underlying instrumental devaluation in rats

Francesco Mannella, Marco Mirolli, Gianluca Baldassarre, 2011 .

Instrumental Conditioning Driven by Apparently Neutral Stimuli: A Model Tested with a Simulated Robotic Rat

Francesco Mannella, Kevin Gurney, Marco Mirolli, 2008 .

Language, Altruism and Docility: How Cultural Learning Can Favour Language Evolution

Domenico Parisi, Marco Mirolli, 2004 .