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dc.contributor.authorLang, Jérôme
dc.contributor.authorPigozzi, Gabriella
dc.contributor.authorSlavkovik, Marija
dc.contributor.authorvan der Torre, Leendert
dc.date.accessioned2012-05-21T13:31:31Z
dc.date.available2012-05-21T13:31:31Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/9257
dc.language.isoenen
dc.subjectMultiagent systems
dc.subjectvoting
dc.subjectminimization
dc.subjectJudgment aggregation
dc.subject.ddc006.3en
dc.titleJudgment aggregation rules based on minimization
dc.typeCommunication / Conférence
dc.contributor.editoruniversityotherUniversity of Luxembourg;Luxembourg
dc.description.abstractenMany voting rules are based on some minimization principle. Likewise, in the field of logic-based knowledge representation and reasoning, many belief change or inconsistency handling operators also make use of minimization. Surprisingly, minimization has not played a major role in the field of judgment aggregation, in spite of its proximity to voting theory and logic-based knowledge representation and reasoning. Here we make a step in this direction and study six judgment aggregation rules; two of them, based on distances, have been previously defined; the other four are new, and all inspired both by voting theory and knowledge representation and reasoning. We study the inclusion relationships between these rules and address some of their social choice theoretic properties.
dc.identifier.citationpages238-246
dc.relation.ispartoftitleTARK XIII
dc.relation.ispartofeditorAssociation for Computing Machinery
dc.relation.ispartofpublnameACM
dc.relation.ispartofdate2011
dc.description.sponsorshipprivateouien
dc.subject.ddclabelIntelligence artificielleen
dc.relation.ispartofisbn978-1-4503-0707-9
dc.relation.confcountryNETHERLANDS
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-01-06T18:03:15Z


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