Enforcing natural properties of choice functions, with application for combination

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dc.contributor.authorWilson, Nicen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderEuropean Regional Development Funden
dc.contributor.funderHorizon 2020 Framework Programmeen
dc.date.accessioned2023-11-03T12:59:22Z
dc.date.available2023-11-03T12:59:22Z
dc.date.issued2023-10en
dc.description.abstractOne important and natural representation of preferences is a choice function, which returns the preferred options amongst any given subset of the alternatives. There are some very intuitive coherence conditions that might be assumed for an agent’s choice function, in particular path independence, and a consistency condition stating that there is always at least one preferred alternative among any non-empty set. However, an elicited choice function may not satisfy path independence, because of the elicitation being incomplete, or because of there being some incoherence in the agent’s reported choice function (despite the agent assenting to the general coherence conditions). Furthermore, if we wish to combine the choice functions of more than one agent, simple natural combination operations can lose path independence. This paper develops methods for enforcing path independence and restoring consistency, thus, making the user preferences coherent; this method also leads to approaches for combining two choice functions, in order to suggest the most promising alternatives for a pair of agents.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationWilson, N. (2023) ‘Enforcing natural properties of choice functions, with application for combination’, in K. Gal, A. Nowé, G.J. Nalepa, R. Fairstein, and R. Rădulescu (eds) Frontiers in Artificial Intelligence and Applications, Volume 372: ECAI 2023, IOS Press, pp. 2647 - 2654. https://doi.org/10.3233/FAIA230572en
dc.identifier.doi10.3233/faia230572en
dc.identifier.endpage2654en
dc.identifier.isbn9781643684369en
dc.identifier.isbn9781643684376en
dc.identifier.issn0922-6389en
dc.identifier.issn1879-8314en
dc.identifier.startpage2647en
dc.identifier.urihttps://hdl.handle.net/10468/15189
dc.identifier.volume372en
dc.language.isoenen
dc.publisherIOS Pressen
dc.relation.ispartofFrontiers in Artificial Intelligence and Applicationsen
dc.relation.ispartofECAI 2023en
dc.relation.ispartofTwenty-sixth European Conference on Artificial Intelligence (ECAI 2023)en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres Programme::Phase 2/12/RC/2289-P2s/IE/INSIGHT Phase 2/en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::RIA/952215/EU/Foundations of Trustworthy AI - Integrating Reasoning, Learning and Optimization/TAILORen
dc.relation.urihttps://doi.org/10.3233/FAIA230572en
dc.rights© 2023 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).en
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/deed.enen
dc.subjectArtificial intelligenceen
dc.subjectAIen
dc.subjectPath independenceen
dc.subjectChoice functionen
dc.titleEnforcing natural properties of choice functions, with application for combinationen
dc.typeConference itemen
dc.typebook-chapteren
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