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April 1993
533 pp.
$85.00/£62.95 (PAPER)
Short

ISBN-10:
0-262-63149-0
ISBN-13:
978-0-262-63149-5

Series
Bradford Books
Complex Adaptive Systems
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 From Animals to Animats 2
Proceedings of the Second International Conference on Simulation of Adaptive Behavior
Edited by Jean-Arcady Meyer, Herbert L. Roitblat and Stewart W. Wilson

Table of Contents and Sample Chapters

More than sixty contributions in From Animals to Animats2 by researchers in ethology, ecology, cybernetics, artificial intelligence, robotics, and related fields investigate behaviors and the underlying mechanisms that allow animals and, potentially, robots to adapt and survive in uncertain environments. Jean-Arcady Meyer is Director of Research, CNRS, Paris. Herbert L. Roitblat is Professor of Psychology at the University of Hawaii at Manoa. Stewart W. Wilson is a scientist at The Rowland Institute for Science, Cambridge, Massachusetts.

Topics covered: The Animat Approach to Adaptive Behavior. Perception and Motor Control. Action Selection and Behavioral Sequences. Cognitive Maps and Internal World Models. Learning. Evolution. Collective Behavior.

About the Editors

Jean-Arcady Meyer is CNRS Research Director and Head of the AnimatLab in the Department of Computer Science at the Université Pierre and Marie Curie, Paris.

Endorsements

"The animat approach is attractive not just as a way of developing and testing theories of biological systems. It also constitutes an approach to the design of practical artificial systems, in particular robots, which, it is hoped, will overcome many of the limitations of more conventional methods within artificial intelligence and engineering. The interplay between biological and engineering concerns and the commonality between research from both perspectives is one of the most promising aspects of animat research and is an intriguing theme throughout the book."
—TheQuarterly Journal of Experimental Psychology (review of the first proceedings volume)





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> Computer Science and Intelligent Systems
 - Adaptive Computation & Machine Learning
 - Artificial Intelligence
 - General
 - Intelligent Systems
 - Neural Networks
 - Robotics
  
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