Agent-based Multi-Factors Adaptive Negotiation in E-Commerce
With the rapid growth of Electronic Commerce, there is growing demand and great potential for online negotiation services. Negotiation is a process between buyers and sellers in a business transaction trying to reach an agreement on one or more issues. The outcome of the negotiation depends on several parameters such as the Agents’ strategies and the knowledge one Agent has about the others. It is important that an Agent chooses a proper negotiation strategy based on negotiation factors in order to achieve its maximum utility. In this paper, we first propose a negotiation model according to Agent’s four factors: belief, time, competition and opportunity. Based on this model, we then present an adaptive negotiation strategy that a negotiator can use to increase its utility. The strategy adapts itself based on information obtained from the negotiation process. Our experimental results show that buyer Agent and seller Agent can obtain their maximum utilities and the best satisfaction degrees through the adaptive negotiation strategy.
Zhang Junyan Tian Jiang Duan Gang
University Electronic Science and Technology of China, Chengdu Sichuan Province, 610054 China
国际会议
2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)
南京
英文
2007-11-18（万方平台首次上网日期，不代表论文的发表时间）