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