Discovering negotiation knowledge for a probabilistic negotiation Web service in e-Business

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 - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
Pages264-270
Publication statusPublished - 2004

Conference

TitleProceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004
PlaceChina
CityBeijing
Period20 - 24 September 2004

Abstract

Negotiation has long been identified as one of the key processes in e-Business. Classical negotiation models have limited use in e-Business because these models often assume that complete information about the negotiation spaces is available and the computational efficiency is negligible. This paper proposes a practical negotiation system which is developed based on Bayesian learning and engineered as a Web service. The knowledge acquisition bottle-neck presented in previous Bayesian negotiation approaches is resolved by a novel method of inducing domain knowledge based on negotiation history. Our preliminary experiment shows that the proposed probabilistic negotiation method is more effective than a non-learning negotiation model and the extra computational time incurs in the probabilistic model is negligible. © 2004 IEEE.

Research Area(s)

  • Automated Negotiation, Bayesian Learning, e-Business, Web Services

Citation Format(s)

Discovering negotiation knowledge for a probabilistic negotiation Web service in e-Business. / Lau, Raymond Y. K.; Valdal, Eivind.
Proceedings - IEEE/WIC/ACM International Conference on Web Intelligence, WI 2004. 2004. p. 264-270.

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