Replaceability and a simple substitutability hierarchy for constraint satisfaction problems

dc.check.date2026-06-14en
dc.check.infoAccess to this article is restricted until 12 months after publication by request of the publisheren
dc.contributor.authorWallace, Richard J.en
dc.contributor.authorFreuder, Eugene C.en
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.date.accessioned2025-07-15T12:46:05Z
dc.date.available2025-07-15T12:46:05Z
dc.date.issued2025-06-14en
dc.description.abstractProblem simplification is of continuing interest in the field of constraint satisfaction. In this paper we examine properties associated with the basic idea of value substitutability and show how certain forms of substitutability can be organised into a strict hierarchy. One of these properties, here called replaceability, has been identified by other authors as being of special interest. We confirm these claims by showing that replaceability is the most general property in this hierarchy that allows local to global inferences. We introduce new algorithms for establishing local (neighbourhood) replaceability that are superior to other types of algorithms designed for this task and demonstrate their effectiveness (values removed) for a variety of constraint types. We show that it is sometimes possible to infer replaceability, leading to appreciable reductions in time required to reduce a problem to irreplaceable domain sets. We also describe a new kind of complexity peak that occurs with neighbourhood replaceability algorithms and analyse this effect.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWallace, R. J. and Freuder, E. C. (2025) 'Replaceability and a simple substitutability hierarchy for constraint satisfaction problems', Journal of Experimental & Theoretical Artificial Intelligence, pp.1-48. https://doi.org/10.1080/0952813X.2025.2509181en
dc.identifier.doi10.1080/0952813x.2025.2509181en
dc.identifier.eissn1362-3079en
dc.identifier.endpage48en
dc.identifier.issn0952-813Xen
dc.identifier.journaltitleJournal of Experimental & Theoretical Artificial Intelligenceen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17704
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.ispartofJournal of Experimental & Theoretical Artificial Intelligenceen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Research Centres Programme/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/Principal Investigator Programme/05/IN/I886/IE/Employing Artificial Intelligence to Make Constraint Programming Easier to Use for Decision Making/en
dc.rights© 2025, Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an item published by Taylor & Francis in Journal of Experimental & Theoretical Artificial Intelligence on 14 June 2025, available online: https://doi.org/10.1080/0952813X.2025.250918en
dc.subjectConstraint satisfactionen
dc.subjectSubstitutabilityen
dc.subjectReplaceabilityen
dc.subjectProblem reformulationen
dc.titleReplaceability and a simple substitutability hierarchy for constraint satisfaction problemsen
dc.typeArticle (peer-reviewed)en
dc.typejournal-articleen
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