Knowledge discovery for adaptive negotiation agents in e-marketplaces.

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

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.

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

• Journal Article Type: Conference Paper
• Conference Name: 9th Pacific Asia conference on information systems (PACIS 2005)
• Conference Location: Bangkok, Thailand
• Start Date: Jul 7, 2005
• End Date: Jul 10, 2005
• Acceptance Date: Dec 30, 2007
• Online Publication Date: Jan 15, 2008
• Publication Date: May 31, 2008
• Deposit Date: Mar 12, 2009
• Publicly Available Date: Mar 12, 2009
• Journal: Decision support systems
• Print ISSN: 0167-9236
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 45
• Issue: 2
• Pages: 310-323
• DOI: https://doi.org/10.1016/j.dss.2007.12.018
• Keywords: Knowledge discovery; Bayesian learning; Adaptive negotiation agents; eMarketplaces
• Public URL: http://hdl.handle.net/10059/313