Belief Revision for Adaptive Negotiation Agents

Authors:
Raymond Y. K. Lau;Brant Essam;Siu Y. Chan;Zi Huang
Affiliations:
-;-;-;-
Venue:
IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
Year:
2003

Citing 0
Cited 3

Adaptive negotiation agents for e-business

ICEC '05 Proceedings of the 7th international conference on Electronic commerce
Towards a web services and intelligent agents-based negotiation system for B2B eCommerce

Electronic Commerce Research and Applications
Utilizing Negotiation Of Multi-Agent On Selecting Vehicle Priority

Journal of Integrated Design & Process Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

Existing negotiation agents are primitive in terms of what they canlearn and how responsive they are towards the changing negotiationcontexts. These weakness can be alleviated if an expressiverepresentation language is used to represent negotiation contextsand a sound inference mechanism is applied to reason about thepreferential changes arising in these negotiation contexts. Thispaper illustrates a novel adpative negotiation agent model, whichis underpinned by the well-known AGM belief revision logic. Ourpreliminary experiments show that the performance of thebelief-based adaptive negotiation agents is promising.