A Perspective of Constraint-Based Reasoning : An Introductory Tutorial

Joachim Hertzberg

ISBN 10: 3540555102 / ISBN 13: 9783540555100

Verlag: Springer Berlin Heidelberg, 1992

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - 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. Bestandsnummer des Verkäufers 9783540555100

Bibliografische Details

Titel: A Perspective of Constraint-Based Reasoning ...

Verlag: Springer Berlin Heidelberg

Erscheinungsdatum: 1992

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

Much of AI research is about problem-solving strategies, and several techniques have been crystalized. One such technique is constraint satisfaction or reasoning based on relations. Constraint-based reasoning is used to solve a wide field of problems, and recently constraint techniques have been incorporated into logic programming languages, yielding a whole new field of research and application: constraint logic programming. Constraint satisfaction techniques have become part of almost all introductory books on AI. This monograph is about constraint satisfaction. It differs from others in that it presents all approaches under a common, generalizing view: dynamic constraints. This new way of viewing constraints provides new insights about the different approaches, and forms a very practical basis for teaching constraint-based reasoning. A uniform view of the constraint world is also a good basis for constraint research. This text is not intended to be a self-contained textbook on constraint-based reasoning, but rather a coherent text on an interesting view of the field.