Published August 1993
by Academic Pr .
Written in English
|The Physical Object|
|Number of Pages||300|
Foundations of Constraint Satisfaction discusses the foundations of constraint satisfaction and presents algorithms for solving constraint satisfaction problems (CSPs). Most of the algorithms described in this book are explained in pseudo code, and sometimes illustrated with Prolog codes (to illustrate how the algorithms could be implemented).Manufacturer: Academic Press. Originally published in , this now classic book was the first attempt to define the scope of constraint satisfaction. It covers both the theoretical and the implementation aspects of the. Foundations of Constraint Satisfaction A comprehensive book on the field of constraint satisfaction, the core of many applications in artificial intelligence. Covers both the theoretical and the implementation aspects of the subject. Tag (s): Artificial Intelligence. FOUNDATIONS OF CONSTRAINT SATISFACTION. Edward Tsang Department of Computer Science University of Essex Colchester Essex, UK. Copyright 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.
This book introduces the classic CSP and details several extensions/improvements of both formalisms and techniques in order to tackle a large variety of problems. Consistency, flexible, dynamic, distributed and learning aspects are discussed and illustrated using simple examples such as the n-queen problem. Contents 1. Foundations of CSP. 2. Foundations of constraint satisfaction, RomanBarták. Constraints in bioinformatics. Design of a 3D protein structurefrom the sequence of amino-acids (3D structure determines features of proteins) Analysing a sequence of DNA, estimating a distance between DNAs, comparing DNAs. Foundations of Constraint Satisfaction. Research Monograph. Constraint satisfaction is a decision problem that involves finite choices. It is ubiquitous. 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 applicationsin artificial intelligence, and has found its application inmany areas, such as planning and scheduling. About this book A Constraint Satisfaction Problem (CSP) consists of a set of variables, a domain of values for each variable and a set of constraints. The objective is to assign a value for each variable such that all constraints are satisfied.
Share - Foundations of Constraint Satisfaction by Edward Tsang (, Trade Paperback). Download the eBook Foundations of Constraint Satisfaction - E. Tsang in PDF or EPUB format and read it directly on your mobile phone, computer or any device. Foundations of Constraint Satisfaction. Book. Jan ; This paper addresses Constraint Satisfaction Problems (CSP), known to be NP-complete, by a family of repair-based algorithms. A distributed constraint satisfaction problem (distributed CSP) is a problem in which the goal is to find a consistent combination of actions that satisfies these inter-agent constraints. More specifically, a distributed CSP is a constraint satisfaction problem (CSP) in which multiple agents are : Springer-Verlag Berlin Heidelberg.