The power of arc consistency for CSPs defined by partially-ordered forbidden patterns

Characterising tractable fragments of the constraint satisfaction problem (CSP) is an important challenge in theoretical computer science and artificial intelligence. Forbidding patterns (generic subinstances) provides a means of defining CSP fragments which are neither exclusively language-based no...

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Main Authors: Cooper, M, Zivny, S
Format: Conference item
Published: Association for Computing Machinery 2016
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author Cooper, M
Zivny, S
author_facet Cooper, M
Zivny, S
author_sort Cooper, M
collection OXFORD
description Characterising tractable fragments of the constraint satisfaction problem (CSP) is an important challenge in theoretical computer science and artificial intelligence. Forbidding patterns (generic subinstances) provides a means of defining CSP fragments which are neither exclusively language-based nor exclusively structure-based. It is known that the class of binary CSP instances in which the broken-triangle pattern (BTP) does not occur, a class which includes all tree-structured instances, are decided by arc consistency (AC), a ubiquitous reduction operation in constraint solvers. We provide a characterisation of irreducible partially-ordered forbidden patterns which have this AC-solvability property. It turns out that BTP is just one of five such AC-solvable patterns. The four other patterns allow us to exhibit new tractable classes.
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spelling oxford-uuid:b183e6e5-7af3-49d7-883e-dce2f5cd5f0d2022-03-27T04:04:36ZThe power of arc consistency for CSPs defined by partially-ordered forbidden patternsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:b183e6e5-7af3-49d7-883e-dce2f5cd5f0dSymplectic Elements at OxfordAssociation for Computing Machinery2016Cooper, MZivny, SCharacterising tractable fragments of the constraint satisfaction problem (CSP) is an important challenge in theoretical computer science and artificial intelligence. Forbidding patterns (generic subinstances) provides a means of defining CSP fragments which are neither exclusively language-based nor exclusively structure-based. It is known that the class of binary CSP instances in which the broken-triangle pattern (BTP) does not occur, a class which includes all tree-structured instances, are decided by arc consistency (AC), a ubiquitous reduction operation in constraint solvers. We provide a characterisation of irreducible partially-ordered forbidden patterns which have this AC-solvability property. It turns out that BTP is just one of five such AC-solvable patterns. The four other patterns allow us to exhibit new tractable classes.
spellingShingle Cooper, M
Zivny, S
The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title_full The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title_fullStr The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title_full_unstemmed The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title_short The power of arc consistency for CSPs defined by partially-ordered forbidden patterns
title_sort power of arc consistency for csps defined by partially ordered forbidden patterns
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