A Perspective of Constraint-Based Reasoning: An Introductory Tutorial by Hans W. GuesgenA Perspective of Constraint-Based Reasoning: An Introductory Tutorial by Hans W. Guesgen

A Perspective of Constraint-Based Reasoning: An Introductory Tutorial

byHans W. Guesgen, Joachim Hertzberg

Paperback | June 10, 1992

Pricing and Purchase Info

$57.38 online 
$64.95 list price save 11%
Earn 287 plum® points

Prices and offers may vary in store


In stock online

Ships free on orders over $25

Not available in stores


Much of AI research is about problem-solving strategies, andseveral techniques have been crystalized. One such techniqueis constraint satisfaction or reasoning based on relations.Constraint-based reasoning is used to solve a wide field ofproblems, and recently constraint techniques have beenincorporated into logic programming languages, yielding awhole new field of research and application: constraintlogic programming. Constraint satisfaction techniques havebecome part of almost all introductory books on AI.This monograph is about constraint satisfaction. It differsfrom others in that it presents all approaches under acommon, generalizing view: dynamic constraints. This new wayof viewing constraints provides new insights about thedifferent approaches, and forms a very practical basis forteaching constraint-based reasoning. A uniform view of theconstraint world is also a good basis for constraintresearch. This text is not intended to be a self-containedtextbook on constraint-based reasoning, but rather acoherent text on an interesting view of the field.
Title:A Perspective of Constraint-Based Reasoning: An Introductory TutorialFormat:PaperbackDimensions:133 pagesPublished:June 10, 1992Publisher:Springer Berlin HeidelbergLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3540555102

ISBN - 13:9783540555100

Look for similar items by category:


Table of Contents

The office world.- Constraint concepts.- Constraint relaxation.- Backtracking approaches.- From simple filtering to tagging.- Appoaches to filtering in parallel.- Optimization approaches.- Instead of a conclusion.