Comparing the Performance of MLP and RBF Neural Networks Employed by Negotiating Intelligent Agents

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	2014-03-01T02:50:15Z
dc.date.available	2014-03-01T02:50:15Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34985
dc.subject	Automated Negotiation	en
dc.subject	Empirical Evaluation	en
dc.subject	Intelligent Agent	en
dc.subject	Numerical Experiment	en
dc.subject	Profitability	en
dc.subject	rbf neural network	en
dc.title	Comparing the Performance of MLP and RBF Neural Networks Employed by Negotiating Intelligent Agents	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IAT.2006.49	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IAT.2006.49	en
heal.publicationDate	2006	en
heal.abstract	One of the means that improve the performance and sophistication of systems in the e-business domain is mobile intelligent agents' technology. In this framework, a quite challenging research field is the design and evaluation of agents handling automated negotiations on behalf of their human or corporate owners. This paper proposes to enhance such agents with learning techniques, in order to	en
heal.journalName	International Agent Technology Conference	en
dc.identifier.doi	10.1109/IAT.2006.49	en