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dc.contributor.authorAknine, Samir
dc.contributor.authorPinson, Suzanne
dc.contributor.authorShakun, Melvin
dc.date.accessioned2010-04-09T10:37:26Z
dc.date.available2010-04-09T10:37:26Z
dc.date.issued2004
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/3898
dc.language.isoenen
dc.subjectCoordinationen
dc.subject.ddc006.3en
dc.titleA Multi-Agent Coalition Formation Method Based on Preference Modelsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenCoordination is one of the fundamental research issues in distributed artificial intelligence and multi-agent systems. Current multi-agent coalition formation methods present two major problems. First, some of these methods can be applied only to cooperative multi-agent systems; second, the algorithms proposed may fail in the formation of the coalitions. This article proposes two methods for problems of agent coalition formation in cooperative and non-cooperative multi-agent systems. These methods are based on agent preference models and on preference aggregation using the Choquet integral. Our first method based on the evolutionary system design (ESD) methodology proposed by M. Shakun is required for competitive multi-agent systems, whereas our second method is powerful for cooperative multi-agent systems where the agents can exchange their information.en
dc.relation.isversionofjnlnameGroup Decision and Negotiation
dc.relation.isversionofjnlvol13en
dc.relation.isversionofjnlissue6en
dc.relation.isversionofjnldate2004-11
dc.relation.isversionofjnlpages513-538en
dc.relation.isversionofdoihttp://dx.doi.org/10.1007/s10726-005-3074-5en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherSpringeren
dc.subject.ddclabelIntelligence artificielleen


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