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Distributed Constraint Satisfaction: Foundation of Cooperation in Multi-agent Systems (Springer Series on Agent Technology) [Illustrated] (Hardcover)

by Makoto Yokoo (Author) "A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence (AI) ..." (more)

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Product details

Hardcover: 143 pages
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K; illustrated edition edition (Jan 2001)
Language English
ISBN-10: 3540675965
ISBN-13: 978-3540675969
Product Dimensions: 24.1 x 16.2 x 1.4 cm
Average Customer Review: No customer reviews yet. Be the first.
Amazon.co.uk Sales Rank: 3,106,680 in Books (See Bestsellers in Books)

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Product Description

Product Description
This book gives an overview of constraint satisfaction problems (CSPs), adapts related search algorithms and consistency algorithms for applications to multi-agent systems, and consolidates recent research devoted to cooperation in such systems. The techniques introduced are applied to various problems in multi-agent systems. Among the new approaches is a hybrid-type algorithm for weak-commitment search combining backtracking and iterative improvement; also, an extension of the basic CSP formalization called partial CSP is introduced in order to handle over-constrained CSPs.The book is written for advanced students and professionals interested in multi-agent systems or, more generally, in distributed artificial intelligence and constraint satisfaction. Researchers active in the area will appreciate this book as a valuable source of reference.

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A constraint satisfaction problem (CSP) is a general framework that can formalize various application problems in artificial intelligence (AI). Read the first page

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