Constraint acquisition as semi-automatic modeling

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dc.contributor.authorColetta, Remien
dc.contributor.authorBessiere, Christianen
dc.contributor.authorO’Sullivan, Barryen
dc.contributor.authorFreuder, Eugene C.en
dc.contributor.authorO’Connell, Sarahen
dc.contributor.authorQuinqueton, Joelen
dc.contributor.editorCoenen, Frans
dc.contributor.editorPreece, Alun
dc.contributor.editorMacintosh, Ann
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderRoyal Irish Academyen
dc.contributor.funderEnterprise Irelanden
dc.contributor.funderConseil National de la Recherche Scientifiqueen
dc.date.accessioned2023-07-04T15:29:13Z
dc.date.available2023-07-04T15:29:13Z
dc.date.issued2004en
dc.description.abstractConstraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and expertise in the field of constraint reasoning. This paper introduces a framework for automatically learning constraint networks from sets of instances that are either acceptable solutions or non-desirable assignments of the problem we would like to express. Such an approach has the potential to be of assistance to a novice who is trying to articulate her constraints. By restricting the language of constraints used to build the network, this could also assist an expert to develop an efficient model of a given problem. This paper provides a theoretical framework for a research agenda in the area of interactive constraint acquisition, automated modelling and automated constraint programming.en
dc.description.sponsorshipEnterprise Ireland, the Royal Irish Academy and Conseil National de la Recherche Scientifique (Grant Number FR/2003/022)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationColetta, R., Bessiere, C., O’Sullivan, B., Freuder, E. C., O’Connell, S. and Quinqueton, J. (2004) 'Constraint acquisition as semi-automatic modeling', in Coenen, F., Preece, A. and Macintosh, A. (eds) Research and Development in Intelligent Systems XX, Proceedings of AI-2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 111–124. Springer: London. doi: 10.1007/978-0-85729-412-8_9en
dc.identifier.doi10.1007/978-0-85729-412-8_9en
dc.identifier.endpage124en
dc.identifier.isbn9781852337803en
dc.identifier.isbn9780857294128en
dc.identifier.startpage111en
dc.identifier.urihttps://hdl.handle.net/10468/14697
dc.language.isoenen
dc.publisherSpringer Nature Ltd.en
dc.relation.ispartofResearch and Development in Intelligent Systems XXen
dc.relation.ispartofAI-2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligenceen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/00/PI.1/C075/IE/Constraint Computation: Automation and Application/en
dc.rights© 2004, Springer-Verlag London. This is a post-peer-review, pre-copyedit version of a paper published as: Coletta, R., Bessiere, C., O’Sullivan, B., Freuder, E. C., O’Connell, S. and Quinqueton, J. (2004) 'Constraint acquisition as semi-automatic modeling', in Coenen, F., Preece, A. and Macintosh, A. (eds) Research and Development in Intelligent Systems XX, Proceedings of AI-2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, pp. 111–124. Springer: London. doi: 10.1007/978-0-85729-412-8_9. The final authenticated version is available online at: https://doi.org/10.1007/978-0-85729-412-8_9en
dc.subjectVersion spaceen
dc.subjectConstraint programmingen
dc.subjectProjection propertyen
dc.subjectSpecific boundaryen
dc.subjectTarget concepten
dc.titleConstraint acquisition as semi-automatic modelingen
dc.typeConference itemen
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