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Knowledge discovery for adaptive negotiation agents in e-marketplaces.

Lau, Raymond Y.K.; Li, Yuefeng; Song, Dawei; Kwok, Ron Chi Wai

Authors

Raymond Y.K. Lau

Yuefeng Li

Dawei Song

Ron Chi Wai Kwok



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.

Journal Article Type Conference Paper
Start Date Jul 7, 2005
Publication Date May 31, 2008
Journal Decision support systems
Print ISSN 0167-9236
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 45
Issue 2
Pages 310-323
Institution Citation LAU, R.Y.K., LI, Y., SONG, D. and KWOK, R.C.W. 2008. Knowledge discovery for adaptive negotiation agents in e-marketplaces. Decision support systems [online], 45(2): IT and value creation: revised selected papers from the proceedings of the 9th Pacific Asia conference on information systems (PACIS 2005), 7-10 July 2005, Bangkok, Thailand, pages 310-323. Available from: https://doi.org/10.1016/j.dss.2007.12.018
DOI https://doi.org/10.1016/j.dss.2007.12.018
Keywords Knowledge discovery; Bayesian learning; Adaptive negotiation agents; eMarketplaces

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