Reputation based intelligent agent negotiation frameworks in the e-marketplace

Louta, M; Roussaki, I; Pechlivanos, L

dc.contributor.author	Louta, M	en
dc.contributor.author	Roussaki, I	en
dc.contributor.author	Pechlivanos, L	en
dc.date.accessioned	2014-03-01T02:44:11Z
dc.date.available	2014-03-01T02:44:11Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31731
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-48249136288&partnerID=40&md5=b24baffcaf1e1e44515cb1970382e905	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/icete/ice-b2006.html#LoutaRP06	en
dc.subject	Intelligent agents	en
dc.subject	Negotiation protocol & model & strategy	en
dc.subject	Ranking Mechanism	en
dc.subject	Reputation Mechanism	en
dc.subject.other	Appropriate technologies	en
dc.subject.other	Collaborative reputation mechanism	en
dc.subject.other	Cost-efficient	en
dc.subject.other	Dynamic market	en
dc.subject.other	E-Commerce	en
dc.subject.other	E-marketplaces	en
dc.subject.other	Market penetration	en
dc.subject.other	Mobile agent technology	en
dc.subject.other	Negotiation framework	en
dc.subject.other	Negotiation protocol	en
dc.subject.other	Quality services	en
dc.subject.other	Ranking Mechanism	en
dc.subject.other	Reputation mechanism	en
dc.subject.other	Reputation rating	en
dc.subject.other	Service provider	en
dc.subject.other	Time periods	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Electronic commerce	en
dc.subject.other	Mobile agents	en
dc.subject.other	Sales	en
dc.subject.other	Intelligent agents	en
dc.title	Reputation based intelligent agent negotiation frameworks in the e-marketplace	en
heal.type	conferenceItem	en
heal.publicationDate	2006	en
heal.abstract	E-commerce is expected to achieve high market penetration if coupled with the appropriate technologies. Mobile Agent Technology (MAT) may enhance the intelligence and improve the efficiency of systems in the e-marketplace. Such a highly competitive and extremely dynamic market should encompass mechanisms for enabling users (Buyers) to find the most appropriate service providers (Sellers), i.e., those offering adequate quality services at a certain time period in a cost efficient manner. In this study, the Buyers' decision on the ""best"" Seller is based on a weighted combination of the evaluation of the quality of the Sellers' offer (performance related factor) and of their reputation rating (reliability related factor). Efficient negotiation frameworks are enhanced with a Sellers' collaborative reputation mechanism, which helps estimating their trustworthiness and predicting their future behaviour, taking into account the Sellers' past performance in satisfying the Buyers' expectations. In essence, Sellers are rated with respect to whether they honoured or not the agreements they have established with the Buyers, thus introducing the concept of trust among the negotiators. The reputation mechanism considers both first-hand information (acquired from the Buyer's past experiences with the Sellers) and second-hand information (disseminated from other Buyers' based on their own past experiences with the Sellers), while spurious reputation ratings are taken into account.	en
heal.journalName	ICE-B 2006 - International Conference on e-Business, Proceedings	en
dc.identifier.spage	5	en
dc.identifier.epage	12	en