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.

Bibliographic Information

Book Title: A Perspective of Constraint-Based Reasoning
Book Subtitle: An Introductory Tutorial
Editors: Hans Werner Guesgen, Joachim Hertzberg
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/3-540-55510-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1992
Softcover ISBN: 978-3-540-55510-0Published: 10 June 1992
eBook ISBN: 978-3-540-47193-6Published: 01 July 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 127
Topics: Artificial Intelligence

Publish with us

Policies and ethics

A Perspective of Constraint-Based Reasoning

Overview

Access this book

Other ways to access

Table of contents (9 chapters)

Front Matter

Back Matter

Keywords

About this book

Bibliographic Information

Publish with us

Search

Navigation