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Other titles in the Complex Adaptive Systems series:

Comparative Approaches to Cognitive Science (Complex Adaptive Systems)

Comparative Approaches to Cognitive Science (Complex Adaptive Systems) Cover

 

Synopses & Reviews

Publisher Comments:

Comparative Approaches to Cognitive Science consolidates a series of recent advances in cognitive science, describing a novel, animal-based, largely nonsymbolic approach to understanding basic mechanisms in adaptive intelligence. Scholars who are at the cutting edge of their disciplines clearly explain their concepts and techniques in twenty contributions that provide a balance of both theoretical and empirical approaches.The essays are tied together by the idea that our understanding of cognition is likely to be enhanced by consideration of mechanisms and processes at its foundation — mechanisms that are shared by both human and nonhuman animals — and which may be implemented and tested in some simulated animals or built robots.The themes described in the book include considerations of the perceptual and motor abilities of animals as the evolutionary and conceptual foundation of more complex abilities; modeling focused as much on connections and constraints as on language and symbols; an interest in simple adaptive processes in animals and robots as the basis for more complex forms of learning and adaptation; and a consideration of animals and robots as integrated and situated systems in contrast to the reductionist and environment-free frameworks often seen in standard cognitive science.A part of the book considers the question of intentionality in animals - whether they "know they know," or have beliefs - and how that might implicate behavior. Other sections address how representation, communication, motivation, and emotion affect behavior.Contributors: C. Allen. M. Bekoff. M. A. Boden. W. T. Bourbon. G. Butterworth. P. W. Cheng. J. Delacour. D. C. Dennett. M. Dyer. C. S. Evans. N. Frijda. J. P. Halperin. K. J. Holyoak. P. Marler. D. MacFarland. B. W. Mel. J.-A. Meyer. J. Neiworth. H. L. Roitblat. C. Thinus-Blanc. R. K. R. Thompson. F. Toates.

Synopsis:

The book includes considerations of the perceptual and motor abilities of animals as the evolutionary and conceptual foundation of more complex abilities; modeling focused as much on connections and constraints as on language and symbols; an interest in simple adaptive processes in animals and robots as the basis for more complex forms of learning and adaptation; and a consideration of animals and robots as integrated and situated systems in contrast to the reductionist and environment-free frameworks often seen in standard cognitive science.

About the Author

Jean-Arcady Meyer is Emeritus Research Director at CNRS (Centre National de la Recherche Scientifique) and a researcher at the Institute of Intelligent Systems and Robotics, University Pierre and Marie Curie, Paris.

Product Details

ISBN:
9780262181662
Editor:
Meyer, Jean-Arcady
Editor:
Roitblat, Herbert L.
Editor:
Meyer, Jean-Arcady
Editor:
Roitblat, Herbert L.
Author:
Meyer, Jean-Arcady
Author:
Roitblat, Herbert L.
Editor:
Roitblat, Herbert L.
Publisher:
Bradford Book
Location:
Cambridge, Mass. :
Subject:
General
Subject:
Cognitive Psychology
Subject:
Cognitive science
Subject:
Human information processing
Subject:
Psychology, comparative
Subject:
Psychology, Comparative -- Congresses.
Subject:
Psychology-Cognitive Science
Edition Description:
Includes bibliographical references and indexes.
Series:
Complex Adaptive Systems Comparative Approaches to Cognitive Science
Series Volume:
147
Publication Date:
19951231
Binding:
HARDCOVER
Grade Level:
from 17
Language:
English
Illustrations:
94
Pages:
543
Dimensions:
10 x 7 in 2.8 lb

Related Subjects

Health and Self-Help » Psychology » Cognitive Science
Reference » Science Reference » General

Comparative Approaches to Cognitive Science (Complex Adaptive Systems)
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Product details 543 pages MIT Press - English 9780262181662 Reviews:
"Synopsis" by , The book includes considerations of the perceptual and motor abilities of animals as the evolutionary and conceptual foundation of more complex abilities; modeling focused as much on connections and constraints as on language and symbols; an interest in simple adaptive processes in animals and robots as the basis for more complex forms of learning and adaptation; and a consideration of animals and robots as integrated and situated systems in contrast to the reductionist and environment-free frameworks often seen in standard cognitive science.
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