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Edward Tsang wrote:Copyright 1996 by Edward Tsang. All rights reserved. No part of this book may be reproduced in any form by photostat, microfilm, or any other means, without written permission from the author.

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Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many applications in artificial intelligence, and has found its application in many areas, such as planning and scheduling. Because of its generality, most AI researchers should be able to benefit from having good knowledge of techniques in this field.

This book is the most comprehensive book on the field of constraint satisfaction so far. It covers both the theoretical and the implementation aspects of the subject. It provides a framework for studying this field, relates different research, and resolves ambiguity in a number of concepts and algorithms in the literature. This book provides a solid foundation for researchers in this field. It is also an invaluable text for graduate and research level students in cognitive science and artificial intelligence.