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Intrinsically Motivated Learning in Natural and Artificial Systems

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Cover of 'Intrinsically Motivated Learning in Natural and Artificial Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intrinsically Motivated Learning Systems: An Overview
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    Chapter 2 Intrinsic Motivation and Reinforcement Learning
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    Chapter 3 Functions and Mechanisms of Intrinsic Motivations
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    Chapter 4 Exploration from Generalization Mediated by Multiple Controllers
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    Chapter 5 Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity
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    Chapter 6 The Role of the Basal Ganglia in Discovering Novel Actions
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    Chapter 7 Action Discovery and Intrinsic Motivation: A Biologically Constrained Formalisation
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    Chapter 8 Novelty Detection as an Intrinsic Motivation for Cumulative Learning Robots
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    Chapter 9 Novelty and Beyond: Towards Combined Motivation Models and Integrated Learning Architectures
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    Chapter 10 The Hippocampal-VTA Loop: The Role of Novelty and Motivation in Controlling the Entry of Information into Long-Term Memory
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    Chapter 11 Deciding Which Skill to Learn When: Temporal-Difference Competence-Based Intrinsic Motivation (TD-CB-IM)
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    Chapter 12 Intrinsically Motivated Affordance Discovery and Modeling
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    Chapter 13 Intrinsically Motivated Learning of Real-World Sensorimotor Skills with Developmental Constraints
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    Chapter 14 Investigating the Origins of Intrinsic Motivation in Human Infants
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    Chapter 15 A Novel Behavioural Task for Researching Intrinsic Motivations
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    Chapter 16 The “Mechatronic Board”: A Tool to Study Intrinsic Motivations in Humans, Monkeys, and Humanoid Robots
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    Chapter 17 The iCub Platform: A Tool for Studying Intrinsically Motivated Learning
Attention for Chapter 12: Intrinsically Motivated Affordance Discovery and Modeling
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Chapter title
Intrinsically Motivated Affordance Discovery and Modeling
Chapter number 12
Book title
Intrinsically Motivated Learning in Natural and Artificial Systems
Published by
Springer Berlin Heidelberg, November 2012
DOI 10.1007/978-3-642-32375-1_12
Book ISBNs
978-3-64-232374-4, 978-3-64-232375-1
Authors

Stephen Hart, Roderic Grupen, Hart, Stephen, Grupen, Roderic

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 9%
France 2 9%
Canada 1 4%
Unknown 18 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 26%
Student > Master 5 22%
Student > Doctoral Student 2 9%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 4 17%
Unknown 2 9%
Readers by discipline Count As %
Computer Science 14 61%
Psychology 4 17%
Engineering 2 9%
Medicine and Dentistry 1 4%
Unknown 2 9%