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hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorLouati, Amine
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorEl Haddad, Joyce
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorPinson, Suzanne
dc.date.accessioned2017-04-05T09:28:51Z
dc.date.available2017-04-05T09:28:51Z
dc.date.issued2014
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16489
dc.descriptionCEUR Workshop Proceedings, vol. 1740en
dc.language.isoenen
dc.subjectService discoveryen
dc.subjectTrusten
dc.subjectMulti-Agent Systemsen
dc.subjectSocial Networksen
dc.subjectReferral Systemsen
dc.subject.ddc006.3en
dc.titleTowards Agent-based and Trust-oriented Service Discovery Approach in Social Networksen
dc.typeCommunication / Conférence
dc.description.abstractenService discovery has been adopted in distributed environments and recently in social networks. Existing approaches for service discovery are often based on matching techniques, which only capture common quality of service (QoS) criteria while ignoring the contribution of the social aspect. The discovery problem increases when the number of available services is important and no means to distinguish between two or many providers offering the same service. To overcome this issue, we propose a trust measure defined as the combination of two dimensions namely trust in sociability and trust in expertise. The problem is growing when no central control can be fixed due to the distributed nature of social networks. To cope with centrality related issues, we propose an agent-based service discovery approach in which each user in the social network is assigned an autonomous and non malicious agent equipped with a bounded set of services with their advertised QoS values. Endowed with a limited view of the social network, the agent acts locally on behalf of its user to discover trustworthy providers with good services. The search propagation process within the social network is ensured by means of a distributed referral system where agents cooperate and evaluate referrals based on a distributed knowledge and a decentralized decision-making.en
dc.identifier.citationpages78-89en
dc.relation.ispartoftitleTrust in Agent Societies. Proceedings of the 17th International Workshop on Trust in Agent Societies co-located with the 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014)en
dc.relation.ispartofeditorCohen, Robin
dc.relation.ispartofeditorFalcone, Rino
dc.relation.ispartofeditorNorman, Timothy J.
dc.relation.ispartofpublnameCEUR-WS.orgen
dc.relation.ispartofdate2014
dc.relation.ispartofpages111en
dc.identifier.urlsitehttp://ceur-ws.org/Vol-1740/en
dc.subject.ddclabelIntelligence artificielleen
dc.relation.conftitle17th International Workshop on Trust in Agent Societiesen
dc.relation.confdate2014-05
dc.relation.confcityParisen
dc.relation.confcountryFranceen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2017-04-05T09:09:51Z
hal.identifierhal-01502224*
hal.version1*
hal.author.functionaut
hal.author.functionaut
hal.author.functionaut


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