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CARDS: Case-Based Reasoning Decision Support Mechanism for Multi-Agent Negotiation in Mobile Commerce

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Recent advent of mobile commerce or m-commerce suggests a need to incorporate intelligent techniques capable of providing decision support consistent with past instances as well as coordination support for conflicting goals and preferences among mobile users. Since m-commerce allows users to move around while doing business transactions, it seems imperative for the m-commerce users to be given high quality of decision support which should be timely and consistent with past instances. For this purpose, this paper presents two schemes – (1) both buyers and sellers engaged in m-commerce are represented by B-agents and S-agents so that the multi-agent framework can be applied, and (2) a case-based reasoning decision support (CARDS) mechanism is developed to provide a robust and consistent support for negotiation among the multi-agents. The primary mission of CARDS here is to match buyers and sellers all of whom want to maximize their own utilities. A real example of m-commerce was chosen to verify the validity of the proposed CARDS, in which perishable products should be sold to those buyers on time. Experiments were performed on the Netlogo, a multi-agent simulation platform running on Windows XP. Statistical tests were also conducted to see whether the experimental results are statistically valid.

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  • Kun Chang Lee & Namho Lee, 2007. "CARDS: Case-Based Reasoning Decision Support Mechanism for Multi-Agent Negotiation in Mobile Commerce," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 10(2), pages 1-4.
    • Handle: RePEc:jas:jasssj:2004-53-4
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    References listed on IDEAS

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    1. MartinNeil Baily & Robert Z. Lawrence, 2001. "Do We Have a New E-conomy?," American Economic Review, American Economic Association, vol. 91(2), pages 308-312, May.
    2. Stender, Michael & Ritz, Thomas, 2006. "Modeling of B2B mobile commerce processes," International Journal of Production Economics, Elsevier, vol. 101(1), pages 128-139, May.
    3. Schmidt, Gunter, 1998. "Case-based reasoning for production scheduling," International Journal of Production Economics, Elsevier, vol. 56(1), pages 537-546, September.
    4. Liao, Shu-hsien, 2000. "Case-based decision support system: Architecture for simulating military command and control," European Journal of Operational Research, Elsevier, vol. 123(3), pages 558-567, June.
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    Cited by:

    1. Scott Moss, 2007. "Alternative Approaches to the Empirical Validation of Agent-Based Models," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(1), pages 1-5.

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