基于经验的进化协商模型

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003 Pub Date : 2003-09-27 DOI:10.1109/ICCIMA.2003.1238127

Hiroshi Ouchiyama, Runhe Huang, Jianhua Ma, K. Sim

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引用次数: 6

摘要

本文提出了一种基于经验的进化协商代理，它可以代表它所代表的用户进行电子商务中的协商过程。通过对人的模仿，代理人在谈判中的技巧应该随着知识和经验的增加而提高。这种代理被称为进化协商代理。本文提出了一种结合遗传算法和贝叶斯规则更新方法的进化协商算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An experience-based evolutionary negotiation model

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.

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来源期刊

Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003

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