DocumentCode
2168009
Title
An experience-based evolutionary negotiation model
Author
Ouchiyama, H. ; Huang, R. ; Ma, J. ; Sim, K.M.
Author_Institution
Fac. of Comput. & Inf. Sci., Hosei Univ., Tokyo, Japan
fYear
2003
fDate
27-30 Sept. 2003
Firstpage
212
Lastpage
217
Abstract
This paper proposes an experience-based evolutionary negotiation agent that can conduct negotiation process in e-commerce on behalf of user/users it represents. By emulating a human being, the skills of an agent in negotiation should 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.
Keywords
Bayes methods; electronic commerce; evolutionary computation; genetic algorithms; negotiation support systems; Bayesian rule updating method; e-commerce; evolutionary algorithm; evolutionary negotiation agent; experience-based model; genetic algorithm; human emulation; negotiation skills; user representation; Bayesian methods; Computational intelligence; Context modeling; Counting circuits; Evolutionary computation; Genetic algorithms; History; Humans; Internet; Web sites;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN
0-7695-1957-1
Type
conf
DOI
10.1109/ICCIMA.2003.1238127
Filename
1238127
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