Geodesic
Multiagent simulation of regional distributed
News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 101-107.

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Multiagent simulation nowadays is considered as a very perspective methodology of studying regional and local markets. We use different types of agents, and consider time- and information-based factors, that affect agents’ behavior, especially information incompleteness and information asymmetry. The model is based on planning adaptive agents using dynamic decision networks as a formal basis of the agent’s decision-making. Agents maximize their expected utility (as a criterion function) with constraints defined by the properties of the agent and the environment.
Keywords: information asymmetry; information incompleteness; multi-agent simulation; mechanism design; decision making; bounded rationality. 
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A. O. Gurtuev; Z. Z. Ivanov; Z. V. Nagoev. Multiagent simulation of regional distributed. News of the Kabardin-Balkar scientific center of RAS, no. 1 (2011), pp. 101-107. http://geodesic.mathdoc.fr/item/IZKAB_2011_1_a17/

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