Detecting unsuccessful automated negotiation threads when opponents employ hybrid strategies

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	2014-03-01T02:45:13Z
dc.date.available	2014-03-01T02:45:13Z
dc.date.issued	2008	en
dc.identifier.issn	03029743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32217
dc.subject	Automated negotiations	en
dc.subject	Early detection of unsuccessful negotiations	en
dc.subject	Hybrid negotiation strategies	en
dc.subject	MLP & GR neural networks	en
dc.subject	NN-assisted negotiation strategies	en
dc.subject	Opponent behaviour prediction	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Cybernetics	en
dc.subject.other	Artificial intelligence systems	en
dc.subject.other	Automated negotiations	en
dc.subject.other	Early detection of unsuccessful negotiations	en
dc.subject.other	Hybrid negotiation strategies	en
dc.subject.other	Hybrid strategies	en
dc.subject.other	Intelligent computing	en
dc.subject.other	International conferences	en
dc.subject.other	Negotiation strategies	en
dc.subject.other	NN-assisted negotiation strategies	en
dc.subject.other	Opponent behaviour prediction	en
dc.subject.other	Neural networks	en
dc.title	Detecting unsuccessful automated negotiation threads when opponents employ hybrid strategies	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-85984-0_4	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-85984-0_4	en
heal.publicationDate	2008	en
heal.abstract	In artificial intelligence systems, building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents' hybrid negotiation behaviour, thus achieving more profitable results. The NNs are used to early detect the cases where agreements are not achievable, supporting the decision of the agents to withdraw or not from the negotiation threads. The designed NN-assisted negotiation strategies have been evaluated via extensive experiments and are proven to be very useful. © 2008 Springer-Verlag Berlin Heidelberg.	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
dc.identifier.doi	10.1007/978-3-540-85984-0_4	en
dc.identifier.volume	5227 LNAI	en
dc.identifier.spage	27	en
dc.identifier.epage	39	en