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Belief revision for adaptive negotiation agents

Lau, Raymond Y.K.; Essam, Brant; Chan, Siu Y. and Huang, Zi (2003). Belief revision for adaptive negotiation agents. In: Proceedings of the 3rd IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 13-17 Oct 2003, Halifax, Canada.

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Existing negotiation agents are primitive in terms of what they can learn and how responsive they are towards the changing negotiation contexts. These weakness can be alleviated if an expressive representation language is used to represent negotiation contexts and a sound inference mechanism is applied to reason about the preferential changes arising in these negotiation contexts. This paper illustrates a novel adpative negotiation agent model, which is underpinned by the well-known AGM belief revision logic. Our preliminary experiments show that the performance of the belief-based adaptive negotiation agents is promising.

Item Type: Conference or Workshop Item
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Item ID: 9056
Depositing User: Aneta Tumilowicz
Date Deposited: 25 Sep 2007
Last Modified: 07 Dec 2018 09:06
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