Abstract
Agent-based computational economics studies the nature of economic processes by means of artificial agents that simulate human behavior. Human behavior is known to be scripted by cultural background. The processes of trade partner selection and negotiation work out differently in different communities. Different communities have different norms regarding trust and opportunism. These differences are relevant for processes studied in economics, especially for international trade. This paper takes Hofstedeās model of national culture as a point of departure. It models the effects on trade processes of one of the five dimensions: power distance. It formulates rules for the behavior of artificial trading agents and presents a preliminary verification of the rules in a multi-agent simulation.
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Hofstede, G.J., Jonker, C.M., Verwaart, T. (2009). Modeling Power Distance in Trade. In: David, N., Sichman, J.S. (eds) Multi-Agent-Based Simulation IX. MABS 2008. Lecture Notes in Computer Science(), vol 5269. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01991-3_1
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DOI: https://doi.org/10.1007/978-3-642-01991-3_1
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