Symmetry definitions for constraint satisfaction problems

David Cohen*, Peter Jeavons, Christopher Jefferson, Karen E. Petrie, Barbara M. Smith

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We review the many different definitions of symmetry for constraint satisfaction problems (CSPs) that have appeared in the literature, a.nd show that a symmetry can be defined in two fundamentally different ways: as an operation preserving the solutions of a CSP instance, or else as an operation preserving the constraints. We refer to these as solution symmetries and constraint Symmetrien. We define a constraint symmetry more precisely as an automorphism of a hypergraph associated with a CSP instance, the microstructure complement. We show that the solution symmetries of a CSP instance can also be obtained as the automorphisms of a. related hypergraph, the k-ary nogood hypergraph and give examples to show that some instances have many more solution symmetries than constraint symmetries. Finally, we discuss the practical implications of these different notions of symmetry.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages17-31
Number of pages15
Publication statusPublished - 1 Dec 2005
Event11th International Conference on Principles and Practice of Constraint Programming - CP 2005 - Sitges, Spain
Duration: 1 Oct 20055 Oct 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3709 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Conference on Principles and Practice of Constraint Programming - CP 2005
Country/TerritorySpain
CitySitges
Period1/10/055/10/05

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