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A Markov-Decision-Based Price Comparison Problem for Mobile AGent-based Internet Commerce System (MAGICS)
San Diego, California July 06-July 09
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICECT.2004.13197152004 IEEE International Conference on ...
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Perry P. Y. Lam, Hong Kong Polytechnic University
Henry C. B. Chan, Hong Kong Polytechnic University
Mobile agents are well suited for facilitating the consumer buying process on the Internet, particularly for comparing prices. In this paper, we present a mobile agent-based e-commerce system, called MAGICS, that addresses some issues concerning price comparisons. After providing an overview of the MAGICS architecture, we use the Markov decision theory to formulate a price comparison problem. The objective of the problem is to obtain an optimal decision policy in order to buy a product at the lowest expected cost, including the traveling costs. The problem was solved using the backward induction algorithm. Some analytical results are presented and discussed.
Index Terms:
price comparison, mobile agents, electronic commerce
Citation:
Perry P. Y. Lam, Henry C. B. Chan, "A Markov-Decision-Based Price Comparison Problem for Mobile AGent-based Internet Commerce System (MAGICS)," cec, pp.34-41, 2004 IEEE International Conference on E-Commerce Technology (CEC'04), 2004
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