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dc.contributor.authorAiriau, Stéphane
dc.date.accessioned2016-07-20T15:48:59Z
dc.date.available2016-07-20T15:48:59Z
dc.date.issued2013
dc.identifier.issn1469-8005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/15671
dc.language.isoenen
dc.subjectcoalitionsen
dc.subjectcooperative game theoryen
dc.subjectmultiagent systemsen
dc.subject.ddc003en
dc.titleCooperative games and multiagent systemsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenForming coalitions is a generic means for cooperation: people, robots, web services, resources, firms; they can all improve their performance by joining forces. The use of coalitions has been successful in domains such as task allocations, sensor networks, and electronic marketplaces. Forming efficient coalitions requires the identification of matching synergies between different entities (finding complementary partners, or similar partners, or partners who add diversity). In addition, the different parties must negotiate a fair repartition of the worth created by the coalition. The first part of this paper is a tutorial on cooperative game theory (also called coalitional games). We then survey the different scenarios and the key issues addressed by the multiagent systems community.en
dc.relation.isversionofjnlnameThe Knowledge Engineering Review
dc.relation.isversionofjnlvol28en
dc.relation.isversionofjnlissue04en
dc.relation.isversionofjnldate2013
dc.relation.isversionofjnlpages381-424en
dc.relation.isversionofdoi10.1017/S0269888913000106en
dc.relation.isversionofjnlpublisherCambridge University Pressen
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2016-07-06T15:05:29Z
hal.person.labIds989
hal.identifierhal-01347318*


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