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Intrinsically Motivated Learning in Natural and Artificial Systems

Overview of attention for book
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
Overall attention for this book and its chapters
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Citations

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Title
Intrinsically Motivated Learning in Natural and Artificial Systems
Published by
Springer Berlin Heidelberg, January 2013
DOI 10.1007/978-3-642-32375-1
ISBNs
978-3-64-232374-4, 978-3-64-232375-1
Authors

Baldassarre, Gianluca, Mirolli, Marco

Editors

Baldassarre, Gianluca, Mirolli, Marco

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 374 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 2%
France 5 1%
Germany 2 <1%
Italy 2 <1%
Japan 2 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Hungary 1 <1%
Other 4 1%
Unknown 346 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 97 26%
Student > Master 59 16%
Student > Bachelor 44 12%
Researcher 42 11%
Student > Doctoral Student 24 6%
Other 62 17%
Unknown 46 12%
Readers by discipline Count As %
Computer Science 107 29%
Psychology 53 14%
Neuroscience 40 11%
Agricultural and Biological Sciences 30 8%
Engineering 24 6%
Other 57 15%
Unknown 63 17%