Multi-modal opponent behaviour prognosis in E-negotiations

Papaioannou, I; Roussaki, I; Anagnostou, M

dc.contributor.author	Papaioannou, I	en
dc.contributor.author	Roussaki, I	en
dc.contributor.author	Anagnostou, M	en
dc.date.accessioned	2014-03-01T02:53:22Z
dc.date.available	2014-03-01T02:53:22Z
dc.date.issued	2011	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/36267
dc.subject	MLP & RBF Neural Networks	en
dc.subject	Negotiating Agents	en
dc.subject	opponent behaviour prediction	en
dc.subject	Polynomial Approximators	en
dc.subject.other	Automated negotiations	en
dc.subject.other	Business-to-consumer	en
dc.subject.other	E-Commerce	en
dc.subject.other	E-negotiations	en
dc.subject.other	Electronic marketplaces	en
dc.subject.other	Function approximation techniques	en
dc.subject.other	Multi-modal	en
dc.subject.other	Negotiating Agents	en
dc.subject.other	opponent behaviour prediction	en
dc.subject.other	RBF Neural Network	en
dc.subject.other	Research fields	en
dc.subject.other	Engineering research	en
dc.subject.other	Intelligent agents	en
dc.subject.other	Neural networks	en
dc.title	Multi-modal opponent behaviour prognosis in E-negotiations	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-21501-8_15	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-21501-8_15	en
heal.publicationDate	2011	en
heal.abstract	Automated negotiations introduce a challenging research field that aims to enhance the performance and optimise several aspects of the electronic marketplace. This paper is concerned with the design and evaluation of negotia-tion strategies suitable for intelligent agents acting in Business-to-Consumer e-commerce environments. In order to minimize the cases where an agreement is not reached upon the expiration of its deadline, the client agent is enhanced with various function approximation techniques, which aim to predict the behaviour of the provider agent during the last negotiation rounds. © 2011 Springer-Verlag.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-642-21501-8_15	en
dc.identifier.volume	6691 LNCS	en
dc.identifier.issue	PART 1	en
dc.identifier.spage	113	en
dc.identifier.epage	123	en