Multiagent simulation of regional distributed markets with information asymmetry

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.