Raymond Y.K. Lau
Knowledge discovery for adaptive negotiation agents in e-marketplaces.
Lau, Raymond Y.K.; Li, Yuefeng; Song, Dawei; Kwok, Ron Chi Wai
Ron Chi Wai Kwok
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|
|Peer Reviewed||Peer Reviewed|
|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|
|Keywords||Knowledge discovery; Bayesian learning; Adaptive negotiation agents; eMarketplaces|
LAU 2008 Knowledge discovery for adaptive
You might also like
Predicting emotional reaction in social networks.
Early fusion and query modification in their dual late fusion forms.
You have e-mail, what happens next?