Abstract
Resource allocation on a supermarket chain network in shopping malls is modeled by a Multi-Agent System describing competition and cooperation between branches of companies. Shops are occupied by one of two companies, B (black) or W (white) and they compete with each other for domination. Fluctuation in the market share is measured as a function of noise, which is a result of advertisement and discount between competing agents. Existence of a critical value of noise level where competition drives large fluctuation in the market share is demonstrated by results in Monte Carlo simulation.
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Szeto, K.Y., Kong, C. (2003). Fluctuation in Multi-agent System of Supermarket Chain Network. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_17
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DOI: https://doi.org/10.1007/978-3-540-45080-1_17
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