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A series of examples of computational models is provided, where the model aimis to interpret numerical results in terms of internal states of agents minds.Two opposite strategies or research can be distinguished in the literature.First is to reproduce the richness and complexity of real world as faithfullyas possible, second is to apply simple assumptions and check the results indepth. As a rule, the results of the latter method agree only qualitativelywith some stylized facts. The price we pay for more detailed predictions withinthe former method is that consequences of the rich set of underlyingassumptions remain unchecked. Here we argue that for computational reasons,complex models with many parameters are less suitable.

How many parameters to model states of mind ?