One belief-based adaptive negotiation agents

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings of the International Conference on Artificial Intelligence IC-AI 2003
Pages867-873
Volume2
Publication statusPublished - Jun 2003
Externally publishedYes

Conference

TitleProceedings of the International Conference on Artificial Intelligence, IC-AI 2003
PlaceUnited States
CityLas Vegas, NV
Period23 - 26 June 2003

Abstract

Previous research in adaptive negotiation agents has raised some challenging learning issues for further investigation. However, existing adaptive negotiation agents are still primitive in terms of what they can learn (e.g., price only) and their sensitivity to the changing negotiation issues. This paper discusses a novel framework of applying the well-known AGM belief revision logic to develop adaptive negotiation agents. Based on our initial implementation, this belief-based persuasive learning mechanism is illustrated with some examples. To our best knowledge, this is the first attempt of developing adaptive negotiation agents based on belief revision logic.

Research Area(s)

  • Adaptive negotiation agents, Belief revision

Citation Format(s)

One belief-based adaptive negotiation agents. / Lau, Raymond Y.K.; Wong, On; Essam, Brant.
Proceedings of the International Conference on Artificial Intelligence IC-AI 2003. Vol. 2 2003. p. 867-873.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review