Intrinsically Motivated Learning in Natural and Artificial Systems
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Intrinsically Motivated Learning in Natural and Artificial Systems

Intrinsically Motivated Learning in Natural and Artificial Systems


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About the Book

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.
About the Author:

Dr. Gianluca Baldassarre is a Researcher at the Institute of Cognitive Sciences and Technologies (ISTC) of the Italian National Research Council (CNR) where he is a member of the Laboratory of Computational Embodied Neuroscience; his research interests include computational embodied neuroscience, psychology, neuroscience, developmental robotics, artificial life, and machine learning.

Dr. Marco Mirolli is a Researcher at the Institute of Cognitive Sciences and Technologies (ISTC) of the Italian National Research Council (CNR) where he is a member of the Laboratory of Computational Embodied Neuroscience Laboratory; his research interests lie in the study of behavior through computer simulations, in particular the evolution of communication and language, the role of language as a cognitive tool, the biological bases of motivations and emotions, and the role of intrinsic motivations in cumulative learning.


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Product Details
  • ISBN-13: 9783642442933
  • Publisher: Springer
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 458
  • Series Title: English
  • Weight: 702 gr
  • ISBN-10: 3642442935
  • Publisher Date: 19 May 2015
  • Edition: 2013 ed.
  • Language: English
  • Returnable: N
  • Spine Width: 24 mm
  • Width: 156 mm


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