Guiding search using constraint-level advice

Research output: Chapter in Book/Report/Conference proceedingsChapterpeer-review

Abstract

Constraint satisfaction problems are traditionally solved using some form of backtrack search that propagates constraints after each decision is made. The efficiency of search relies heavily on the use of good variable and value ordering heuristics. In this paper we show that constraints can also be used to guide the search process by actively proposing the next choice point to be branched on. We show that search effort can be reduced significantly.

Original languageEnglish
Title of host publicationECAI 2006
Subtitle of host publication17th European Conference on Artificial Intelligence August 29 - September 1, 2006, Riva del Garda, Italy
EditorsGerhard Brewka, Silvia Coradeschi, Anna Perini, Paolo Traverso
PublisherIOS Press BV
Pages158-162
Number of pages5
ISBN (Print)9781586036423
Publication statusPublished - 2006

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume141
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

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