Intrinsically Motivated Learning in Natural and Artificial Systems

It has become clear to researchers in robotics and adaptive behaviour that current approaches are yielding systems with limited autonomy and capacity for self-improvement. To learn autonomously and in a cumulative fashion is one of the hallmarks of intelligence, and we know that higher mammals engag...

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Corporate Author: SpringerLink (Online service)
Other Authors: Baldassarre, Gianluca. (Editor, http://id.loc.gov/vocabulary/relators/edt), Mirolli, Marco. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Subjects:
Online Access:https://doi.org/10.1007/978-3-642-32375-1
Table of Contents:
  • 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.