An effective Negotiation Strategy for simple buyer response in E-commerce environment

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	2014-03-01T02:42:26Z
dc.date.available	2014-03-01T02:42:26Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31012
dc.subject	Intelligent Agents	en
dc.subject	Negotiation Protocol & Model	en
dc.subject	Ranking Mechanism	en
dc.subject	Simulated Annealing	en
dc.subject	Strategy	en
dc.subject.other	Algorithms	en
dc.subject.other	Computational methods	en
dc.subject.other	Constraint theory	en
dc.subject.other	Cooling	en
dc.subject.other	Financial data processing	en
dc.subject.other	Industrial economics	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Marketing	en
dc.subject.other	Mathematical models	en
dc.subject.other	Optimization	en
dc.subject.other	Probability	en
dc.subject.other	Simulated annealing	en
dc.subject.other	Software agents	en
dc.subject.other	Vectors	en
dc.subject.other	Credit cards	en
dc.subject.other	Negotiation protocol and model	en
dc.subject.other	Ranking mechanism	en
dc.subject.other	Strategy	en
dc.subject.other	Electronic commerce	en
dc.title	An effective Negotiation Strategy for simple buyer response in E-commerce environment	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IS.2004.1344807	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IS.2004.1344807	en
heal.publicationDate	2004	en
heal.abstract	Electronic commerce is expected to dominate the market if coupled with the appropriate technologies and mechanisms. Mobile agents are one of the means that may enhance the intelligence and improve the efficiency of systems in the e-marketplace. In this paper, we propose a dynamic multilateral negotiation model and an efficient negotiation strategy that can be used to extend the functionality of autonomous agents, so that they reach to an agreement aiming to maximise their owner's utility. The framework considers contract and decision issues, is based on real market conditions, adopts a light ranking mechanism that does not require a complicated rationale on behalf of the buyer agents, and has been empirically evaluated.	en
heal.journalName	2004 2nd International IEEE Conference 'Intelligent Systems' - Proceedings	en
dc.identifier.doi	10.1109/IS.2004.1344807	en
dc.identifier.volume	2	en
dc.identifier.spage	535	en
dc.identifier.epage	540	en