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Computational and robotic models of the hierarchical organization of behavior / / Gianluca Baldassarre, Marco Mirolli, editors
Computational and robotic models of the hierarchical organization of behavior / / Gianluca Baldassarre, Marco Mirolli, editors
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Heidelberg [Germany] : , : Springer, , 2013
Descrizione fisica 1 online resource (vi, 358 pages) : illustrations (some color)
Disciplina 004
006.3
150.72
612.8
Collana Gale eBooks
Soggetto topico Computational learning theory
ISBN 3-642-39875-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chap. 1 - Computational and Robotic Models of the Hierarchical Organization of Behavior: An Overview -- Chap. 2 - Behavioral Hierarchy: Exploration and Representation -- Chap. 3 - Self-organized Functional Hierarchy Through Multiple Timescales: Neurodynamical Accounts for Behavioral Compositionality -- Chap. 4 - Autonomous Representation Learning in a Developing Agent -- Chap. 5 - Hierarchies for Embodied Action Perception -- Chap. 6 - Learning and Coordinating Repertoires of Behaviors with Common Reward: Credit Assignment and Module Activation -- Chap. 7 - Modular, Multimodal Arm Control Models -- Chap. 8 - Generalization and Interference in Human Motor Control -- Chap. 9 - A Developmental Framework for Cumulative Learning Robots -- Chap. 10 - The Hierarchical Accumulation of Knowledge in the Distributed Adaptive Control Architecture -- Chap. 11 - The Hierarchical Organization of Cortical and Basal Ganglia Systems: A Computationally Informed Review and Integrated Hypothesis -- Chap. 12 - Divide and Conquer: Hierarchical Reinforcement Learning and Task Decomposition in Humans -- Chap. 13 - Neural Network Modelling of Hierarchical Motor Function in the Brain -- Chap. 14 - Restoring Purpose in Behavior.
Record Nr. UNINA-9910437571503321
Heidelberg [Germany] : , : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Evolution, complexity and artificial life / / Stefano Cagnoni, Marco Mirolli, Marco Villani, editors
Evolution, complexity and artificial life / / Stefano Cagnoni, Marco Mirolli, Marco Villani, editors
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Heidelberg, Germany : , : Springer, , 2014
Descrizione fisica 1 online resource (xvii, 280 pages) : illustrations (some color)
Disciplina 003.7
004
006.3
620
Collana Gale eBooks
Soggetto topico Self-organizing systems
Evolutionary computation
Artificial life
ISBN 3-642-37577-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto One Artefact – Many Phenomena -- Taming the Complexity of Natural and Artificial Evolutionary Dynamics -- Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Framework -- Attractors Perturbations in Biological Modelling: Avalanches and Cellular Differentiation -- Automatic Design of Boolean Networks for Modeling Cell Differentiation -- Towards the Engineering of Chemical Communication Between Semi-synthetic and Natural Cells -- Cumulative Learning Through Intrinsic Reinforcements -- Development of Categorization Abilities in Evolving Embodied Agents: A Study of Internal Representa­tions with External Social Inputs -- Regulatory Traits: Cultural Influences on Cultural Evolution -- Building up Serious Games with an Artificial Life Approach: Two Case Studies -- The Effects of Multivalency and Kinetics in Nanoscale Search by Molecular Spiders -- Towards the Use of Genetic Programming for the Prediction of Survival in Cancer -- A Neuro-evolutionary Approach to Electrocardiographic Signal Classification -- Self-organisation and Evolution for Trust-Adaptive Grid Computing Agents -- Honest vs. Cheating Bots in PATROL-Based Real-Time Strategy MMOGs -- Distribution Search on Evolutionary Many-Objective Optimization: Selection Mappings and Recombination Rate -- Concurrent Implementation Techniques Using Differential Evolution for Multi-core CPUs: A Comparative Study Using Statistical Tests.
Record Nr. UNINA-9910298574203321
Heidelberg, Germany : , : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intrinsic motivations and open-ended development in animals, humans, and robots / / topic editors, Gianluca Baldassarre, Tom Stafford, Marco Mirolli, Peter Redgrave, Richard Michael Ryan and Andrew Barto
Intrinsic motivations and open-ended development in animals, humans, and robots / / topic editors, Gianluca Baldassarre, Tom Stafford, Marco Mirolli, Peter Redgrave, Richard Michael Ryan and Andrew Barto
Autore Tom Stafford
Pubbl/distr/stampa Frontiers Media SA, 2015
Descrizione fisica 1 online resource (350 pages) : illustrations; digital, PDF file(s)
Collana Frontiers Research Topics
Soggetto topico Computational neuroscience
Autonomous robots
Soggetto non controllato computational models
intrinsic motivations
autonomous robotics
novelty and surprise
review
cumulative learning and development
brain and behavior
reinforcement learning
ISBN 9782889193721 (ebook)
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910137236003321
Tom Stafford  
Frontiers Media SA, 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intrinsically motivated learning in natural and artificial systems / / edited by Gianluca Baldassarre, Marco Mirolli
Intrinsically motivated learning in natural and artificial systems / / edited by Gianluca Baldassarre, Marco Mirolli
Edizione [2nd ed.]
Pubbl/distr/stampa New York, : Springer, 2013
Descrizione fisica 1 online resource (454 p.)
Disciplina 629.892
Altri autori (Persone) BaldassarreGianluca
MirolliMarco
Soggetto topico Robots
Intrinsic motivation
ISBN 9783642323751
3642323758
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chap. 1 - Intrinsically Motivated Learning Systems: An Overview -- Chap. 2 - Intrinsic Motivation and Reinforcement Learning -- Chap. 3 - Functions and Mechanisms of Intrinsic Motivations -- Chap. 4 - Exploration from Generalization Mediated by Multiple Controllers -- Chap. 5 - Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity -- Chap. 6 - The Role of the Basal Ganglia in Discovering Novel Actions -- Chap. 7 - Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation -- Chap 8 - Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots -- Chap. 9 - Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures -- Chap. 10 - The Hippocampal-VTA Loop: The Role of Novelty and Motivation in Controlling the Entry of Information into Long-Term Memory -- Chap. 11 - Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM) -- Chap. 12 - Intrinsically Motivated Affordance Discovery and Modeling -- Chap. 13 - Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints -- Chap. 14 - Investigating the Origins of Intrinsic Motivation in Human Infants -- Chap. 15 - A Novel Behavioural Task for Researching Intrinsic Motivations -- Chap. 16 - The “Mechatronic Board”: A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots -- Chap. 17 - The iCub Platform: A Tool for Studying Intrinsically Motivated Learning.
Record Nr. UNINA-9910437572403321
New York, : Springer, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui