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Intrinsically Motivated Learning in Natural and Artificial Systems Cover Image E-book E-book

Intrinsically Motivated Learning in Natural and Artificial Systems [electronic resource] / edited by Gianluca Baldassarre, Marco Mirolli.

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  • ISBN: 9783642323751
  • Physical Description: VII, 458 p. 82 illus., 55 illus. in color. online resource.
  • Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : 2013.
Subject: Computer science.
Neurosciences.
Artificial intelligence.
Engineering.
Consciousness.
Computer Science.
Artificial Intelligence (incl. Robotics).
Cognitive Psychology.
Control, Robotics, Mechatronics.
Computational Intelligence.
Neurosciences.

Electronic resources


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.

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