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dc.contributor.authorEndriss, Ulle
dc.contributor.authorMaudet, Nicolas
dc.date.accessioned2009-11-26T11:26:18Z
dc.date.available2009-11-26T11:26:18Z
dc.date.issued2005
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/2548
dc.language.isoenen
dc.subjectMultiagent resource allocationen
dc.subjectSocial welfareen
dc.subjectComplexityen
dc.subject.ddc006.3en
dc.titleOn the communication complexity of multilateral trading: Extended reporten
dc.typeArticle accepté pour publication ou publié
dc.contributor.editoruniversityotherDepartment of Computing, Imperial College London;Royaume-Uni
dc.description.abstractenWe study the complexity of a multilateral negotiation framework, where autonomous agents agree on a sequence of deals to exchange sets of discrete resources in order to both further their own goals and to achieve a distribution of resources that is socially optimal. When analysing such a framework, we can distinguish different aspects of complexity: How many deals are required to reach an optimal allocation of resources? How many communicative exchanges are required to agree on one such deal? How complex a communication language do we require? And finally, how complex is the reasoning task faced by each agent?en
dc.relation.isversionofjnlnameAutonomous Agents and Multi-Agent Systems
dc.relation.isversionofjnlvol11en
dc.relation.isversionofjnlissue1en
dc.relation.isversionofjnldate2005
dc.relation.isversionofjnlpages91-107en
dc.relation.isversionofdoihttp://dx.doi.org/10.1007/s10458-005-1080-2en
dc.description.sponsorshipprivateouien
dc.relation.isversionofjnlpublisherSpringer Netherlandsen
dc.subject.ddclabelIntelligence artificielleen


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