Intrinsically Motivated Learning in Natural and Artificial Systems(English, Hardcover, unknown)

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Product Description

Language: English

Binding: Hardcover

Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Genre: Computers

ISBN: 9783642323744, 9783642323744

Pages: 458

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 inter-est in learning new behaviours. The adaptive
value of such intrinsically motivated activities lies in the fact that they allow the cumulative acquisition of
knowledge and skills that can be used later to accomplish fitness-enhanc-ing goals. Intrinsic motivations continue
during adulthood, and in humans they underlie lifelong learning, artistic creativity, and scientific discovery, while
they are also the basis for processes that strongly affect human well-being, such as the sense of competence,
self-determination, and self-esteem. 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 experimental
frameworks 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.
Language: English
Binding: Hardcover
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Genre: Computers
ISBN: 9783642323744, 9783642323744
Pages: 458
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Height: 235 mm
Length: 155 mm
Weight: 8218 gr