Abstract
B to B commerce is an important research issue for increasing the profitability in global markets. Sophisticated B to B commerce requires optimality in resource allocation based on the human behavior dynamism. A market-oriented programming calculates a Pareto-optimal resource allocation in the market by computing competitive equilibrium of an artificial economy. In this paper we propose a new resource allocation algorithm based on market-oriented programming, which takes into account the consumers' buying behavior influencing the B to B commerce. According to this method, supply agents in the computational market decide their supply plan by estimating the demand agents' behavior. Careful constructions of the agents according to the buying behavior can lead to an efficient allocation of distributed resources, and the behavior of the agents can be analyzed in economic terms. © 2005 Wiley Periodicals, Inc. Electr Eng Jpn, 153(1): 63–72, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20060
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