Solution Techniques for Constraint Satisfaction Problems: Foundations

  • Authors:
  • I. Miguel;Q. Shen

  • Affiliations:
  • School of Artificial Intelligence, Division of Informatics, University of Edinburgh, Edinburgh, EH1 1HN, UK;School of Artificial Intelligence, Division of Informatics, University of Edinburgh, Edinburgh, EH1 1HN, UK

  • Venue:
  • Artificial Intelligence Review
  • Year:
  • 2001

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Abstract

The Constraint Satisfaction Problem (CSP) is ubiquitous in artificialintelligence. It has a wide applicability, ranging from machine visionand temporal reasoning to planning and logic programming. This paperattempts a systematic and coherent review of the foundations ofthe techniques for constraint satisfaction. It discusses in detail thefundamental principles and approaches. This includes an initialdefinition of the constraint satisfaction problem, a graphical meansof problem representation, conventional tree search solutiontechniques, and pre-processing algorithms which are designed to makesubsequent tree search significantly easier.