Modeling and simulating large economic systems, with hundreds of players, is a basic requirement for understanding economic processes even at the scale of a large town where tens of shops are competing. Based on fuzzy logic models, we parallelize computations with the purpose to make them affordable even when larger systems are simulated. After briefly introducing the basic models involving several strategies of the commercial players, we extend the models to group-based hierarchically organized players. The overall models are nonlinear, which favors a rich dynamic behavior. Then, we present the parallelizing procedure and simulation results. Special attention is paid to the dynamic behavior of the market, including transitory regimes, asymptotic stability, and periodicities.
GRID computing, fuzzy systems, market model, economy, nonlinear dynamics
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