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
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;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238127
