Mining negotiation knowledge for adaptive negotiation agents in e-marketplaces

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Publication statusPublished - 2007

Publication series

Name
ISSN (Print)1530-1605

Conference

Title40th Annual Hawaii International Conference on System Sciences 2007, HICSS'07
PlaceUnited States
CityBig Island, HI
Period3 - 6 January 2007

Abstract

By increasing the degree and sophistication of automation, e-marketplaces will become much more efficient and transparent, and hence more widely adopted by organizations. Negotiation is one of main activities conducted in e-marketplaces, and adaptive negotiation agents can be applied to improve the effectiveness of B2B e-marketplaces. Classical negotiation models have limited use in modern e-marketplaces because these models often assume that complete information about the negotiation spaces is available. This paper illustrates the design and development of adaptive negotiation agents for e-marketplaces. These agents are empowered by the Bayesian learning mechanisms so that they can gradually acquire negotiation knowledge based on their previous encounters with the opponents. Our preliminary experiment shows that the proposed probabilistic negotiation decision making mechanism and the associated data mining approach is effective and efficient in simulated e-marketplaces. © 2007 IEEE.

Research Area(s)

  • Adaptive negotiation agents, Bayesian learning, E-marketplaces

Citation Format(s)

Mining negotiation knowledge for adaptive negotiation agents in e-marketplaces. / Lau, Raymond Y. K.; Wong, On.
Proceedings of the Annual Hawaii International Conference on System Sciences. 2007. 4076465.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review