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Computer Engineering ›› 2007, Vol. 33 ›› Issue (06): 185-186. doi: 10.3969/j.issn.1000-3428.2007.06.065

• Artificial Intelligence and Recognition Technology • Previous Articles     Next Articles

Intelligent Negotiation Based on Dynamic Game Theory
in CBB Mode

SHEN Hui 1, PAN Yu 2   

  1. (1. College of Information Science and Engineering, Nanjing University of Technology, Nanjing 210009;
    2. College of Management Science and Engineering, Nanjing University of Technology, Nanjing 210009)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-03-20 Published:2007-03-20

CBB模式中基于动态博弈的智能协商

沈 慧1,潘 郁2   

  1. (1. 南京工业大学信息科学与工程学院,南京210009;2. 南京工业大学管理科学与工程学院,南京 210009)

Abstract: Negotiation is an important phase in the customer’s buying behavior(CBB) of e-commerce. The intelligent negotiation in CBB mode is solved with the dynamic gambling method of incomplete information and the agent technique of artificial intelligent. Algorithm based on the combined method is designed. And the feasibility is shown with an auction example.

Key words: Dynamic game theory, Intelligent negotiation, CBB mode

摘要: 在属于电子商务领域的消费者购买行为(CBB)模式中,协商是一个重要阶段。该文应用经济学中的不完全信息动态博弈方法,辅以人工智能(AI)领域的Agent技术,解决了CBB模式中的智能协商问题,设计了相应的算法,并通过实验分析了该算法的可行性。

关键词: 动态博弈, 智能协商, CBB模式