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Multi-modal opponent behaviour prognosis in E-negotiations

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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 http://hdl.handle.net/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


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