An Experience Based Evolutionary Negotiation Model

Authors:
H. Ouchiyama;R. Huang;J. Ma;K. M. Sim
Affiliations:
-;-;-;-
Venue:
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Year:
2003

Citing 0
Cited 2

Learning-based automated negotiation between shipper and forwarder

Computers and Industrial Engineering
Using temporal-difference learning for multi-agent bargaining

Electronic Commerce Research and Applications

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Abstract

This paper proposes an experience based evolutionary negotiation agent that can conductnegotiation process in e-commerce on behalf of user/users it represents. By emulating humanbeing, skills of an agent in negotiations should be able to be improved with increasing knowledge and experience. Such agent is called an evolutionary negotiation agent. In this paper, an evolutionary algorithm in combination of a genetic algorithm and Bayesian rule updating method for an evolutionary negotiation model is described.