Knowledge discovery for adaptive negotiation agents in e-marketplaces

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review

30 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)310-323
Journal / PublicationDecision Support Systems
Volume45
Issue number2
StatePublished - May 2008

Abstract

Intelligent software agents are promising in improving the effectiveness of e-marketplaces for e-commerce. Although a large amount of research has been conducted to develop negotiation protocols and mechanisms for e-marketplaces, existing negotiation mechanisms are weak in dealing with complex and dynamic negotiation spaces often found in e-commerce. This paper illustrates a novel knowledge discovery method and a probabilistic negotiation decision making mechanism to improve the performance of negotiation agents. Our preliminary experiments show that the probabilistic negotiation agents empowered by knowledge discovery mechanisms are more effective and efficient than the Pareto optimal negotiation agents in simulated e-marketplaces. © 2008 Elsevier B.V. All rights reserved.

Research Area(s)

  • Adaptive negotiation agents, Bayesian learning, e-marketplaces, Knowledge discovery

Citation Format(s)

Knowledge discovery for adaptive negotiation agents in e-marketplaces. / Lau, Raymond Y.K.; Li, Yuefeng; Song, Dawei; Kwok, Ron Chi Wai.

In: Decision Support Systems, Vol. 45, No. 2, 05.2008, p. 310-323.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalNot applicablepeer-review