Backtrack-free search for real-time constraint satisfaction

  • J. Christopher Beck
  • , Tom Carchrae
  • , Eugene C. Freuder
  • , Georg Ringwelski

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

Abstract

A constraint satisfaction problem (CSP) model can be preprocessed to ensure that any choices made will lead to solutions, without the need to backtrack. This can be especially useful in a real-time process control or online interactive context. The conventional machinery for ensuring backtrack-free search, however, adds additional constraints, which may require an impractical amount of space. A new approach is presented here that achieves a backtrack-free representation by removing values. This may limit the choice of solutions, but we are guaranteed not to eliminate them all. We show that in an interactive context our proposal allows the system designer and the user to collaboratively establish the tradeoff in space complexity, solution loss, and backtracks.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMark Wallace
PublisherSpringer Verlag
Pages92-106
Number of pages15
ISBN (Print)3540232419, 9783540232414
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3258
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Backtrack-free search for real-time constraint satisfaction'. Together they form a unique fingerprint.

Cite this