Efficient inference for expressive comparative preference languages

dc.contributor.authorWilson, Nic
dc.date.accessioned2020-11-18T12:52:39Z
dc.date.available2020-11-18T12:52:39Z
dc.date.issued2009-07
dc.date.updated2020-11-04T13:27:01Z
dc.description.abstractA fundamental task for reasoning with preferences is the following: given input preference information from a user, and outcomes α and β, should we infer that the user will prefer α to β? For CP-nets and related comparative preference formalisms, inferring a preference of α over β using the standard definition of derived preference appears to be extremely hard, and has been proved to be PSPACE-complete in general for CP-nets. Such inference is also rather conservative, only making the assumption of transitivity. This paper defines a less conservative approach to inference which can be applied for very general forms of input. It is shown to be efficient for expressive comparative preference languages, allowing comparisons between arbitrary partial tuples (including complete assignments), and with the preferences being ceteris paribus or not.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilson, N.(2009) 'Efficient Inference for Expressive Comparative Preference Languages', IJCAI-09: Proceedings of the 21st International Joint conference on Artificial intelligence, Pasadena, California, USA, 11-17 July, pp. 961-966.en
dc.identifier.endpage966en
dc.identifier.isbn978-1-57735-426-0
dc.identifier.startpage961en
dc.identifier.urihttps://hdl.handle.net/10468/10774
dc.language.isoenen
dc.publisherThe Association for the Advancement of Artificial Intelligence (AAAI), The International Joint Conferences on Artificial Intelligence, Inc. (IJCAI)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/00/PI.1/C075/IE/Constraint Computation: Automation and Application/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/08/IN.1/I1912/IE/The Development of Artificial intelligence Approaches for Preferences in Combinational Problems/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Strategic Research Cluster/07/SRC/I1170/IE/SRC ITOBO: Information and Communication Technology for Sustainable and Optimised Building Operation/en
dc.relation.urihttps://www.ijcai.org/Proceedings/2009
dc.rights© 2009 IJCAI; AAAIen
dc.subjectCP-netsen
dc.subjectConstraintsen
dc.subjectAIen
dc.subjectArtificial intelligenceen
dc.titleEfficient inference for expressive comparative preference languagesen
dc.typeConference itemen
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