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N/A - Intrinsically Motivated Learning in Natural and Artificial Systems - 9783642323744 - V9783642323744
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Intrinsically Motivated Learning in Natural and Artificial Systems

€ 188.13
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Description for Intrinsically Motivated Learning in Natural and Artificial Systems Hardcover. This book presents the state of the art in research on intrinsically motivated learning and presents novel tools for research. It also identifies related scientific and technological open challenges as well as promising research directions. Editor(s): Baldassarre, Gianluca; Mirolli, Marco. Num Pages: 458 pages, biography. BIC Classification: JMR; PSAN; TJFM; UYQ. Category: (P) Professional & Vocational. Dimension: 239 x 165 x 32. Weight in Grams: 868.

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 engage in exploratory activities that are not directed to pursue goals of immediate relevance for survival and reproduction but are instead driven by intrinsic motivations such as curiosity, interest in novel stimuli or surprising events, and inter­est in learning new behaviours. The adaptive value of such intrinsically motivated activities lies in the fact that they ... Read more

This book has two aims: to present the state of the art in research on intrinsically motivated learning, and to identify the related scientific and technological open challenges and most promising research directions. The book introduces the concept of intrinsic motivation in artificial systems, reviews the relevant literature, offers insights from the neural and behavioural sciences, and presents novel tools for research. The book is organized into six parts: the chapters in Part I give general overviews on the concept of intrinsic motivations, their function, and possible mechanisms for implementing them; Parts II, III, and IV focus on three classes of intrinsic motivation mechanisms, those based on predictors, on novelty, and on competence; Part V discusses mechanisms that are complementary to intrinsic motivations; and Part VI introduces tools and experimentalframeworks for investigating intrinsic motivations.

The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.

The contributing authors are among the pioneers carrying out fundamental work on this topic, drawn from related disciplines such as artificial intelligence, robotics, artificial life, evolution, machine learning, developmental psychology, cognitive science, and neuroscience. The book will be of value to graduate students and academic researchers in these domains, and to engineers engaged with the design of autonomous, adaptive robots.

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Product Details

Format
Hardback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
500
Condition
New
Number of Pages
458
Place of Publication
Berlin, Germany
ISBN
9783642323744
SKU
V9783642323744
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About N/A
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 ... Read more

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