Abstract
As an intelligent and agile software, mobile agent is promising to boost the flexibility and performance of current Internet retail commerce. However, due to the constrained computational resources and security concerns, current first-generation shopping agents have only limited capacities to conduct negotiation. On the other hand, though online auction exhibits attractive features for retail negotiation such as fairness and openness, it suffers from the problems such as reversed consumer-buyer relation and low performance. In this chapter, we present a novel trading scheme which combines together the favorable features of mobile agent and traditional English auction. The scheme implements an auctionlike negotiation protocol to rationalize the buyer-seller relation, keep the dominant strategies in the English auction and simplify the security measures to protect mobile trade agents during the trading process. Based on the protocol, an online learning algorithm supported by clustering techniques and fuzzy sets further helps to improve the system performance and flexibility. In this chapter, we report our in-depth research on the proposed scheme. Both theoretic and empirical results are presented.
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Wang, X., Yi, X., Krishnan, R., Siew, C.K., Khosla, P.K. (2002). Mobile Agent Based Auctionlike Negotiation in Internet Retail Commerce. In: Segovia, J., Szczepaniak, P.S., Niedzwiedzinski, M. (eds) E-Commerce and Intelligent Methods. Studies in Fuzziness and Soft Computing, vol 105. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1779-9_19
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DOI: https://doi.org/10.1007/978-3-7908-1779-9_19
Publisher Name: Physica, Heidelberg
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