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hal.structure.identifier
dc.contributor.authorBelahcene, Khaled
HAL ID: 5889
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorChevaleyre, Yann
hal.structure.identifier
dc.contributor.authorMaudet, Nicolas
HAL ID: 4473
ORCID: 0000-0002-4232-069X
hal.structure.identifier
dc.contributor.authorLabreuche, Christophe
hal.structure.identifier
dc.contributor.authorMousseau, Vincent
HAL ID: 4625
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorOuerdane, Wassila
HAL ID: 4804
ORCID: 0000-0002-4515-7461
dc.date.accessioned2020-07-22T08:47:02Z
dc.date.available2020-07-22T08:47:02Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/20954
dc.language.isoenen
dc.subjectdecisionen
dc.subject.ddc003en
dc.titleAccountable Approval Sortingen
dc.typeCommunication / Conférence
dc.description.abstractenWe consider decision situations in which a set of points of view (voters, criteria) are to sort a set of candidates to ordered classes (GOOD / BAD). Candidates are judged GOOD when approved by a sufficient set of points of view; this corresponds to noncompensatory sorting. To be accountable, such approval sorting should provide guarantees about the decision process and decisions concerning specific candidates. We formalize accountability using a feasibility problem expressed as a boolean satisfiability formulation. We illustrate different forms of accountability when a committee decides with approval sorting and study the information that should be disclosed by the committee.en
dc.identifier.citationpages70–76en
dc.relation.ispartofeditorLang, Jérôme
dc.relation.ispartofpublnameAAAI Pressen
dc.relation.ispartofpublcityPalo Alto (USA)en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-01785011en
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-0-9992411-2-7en
dc.relation.conftitleIJCAI'18: Proceedings of the 27th International Joint Conference on Artificial Intelligenceen
dc.relation.confdate2018-07
dc.relation.confcityStockholmen
dc.relation.confcountrySwedenen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2020-07-22T08:35:51Z
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