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Behavioral models, which may \nbe deterministic or stochastic, provide the evolution of the system within the action space of the mechanisms. \nMathematical formulations of these economic games treat agent utility as derived from the state rather than direct from \nan action, creating a rich, dynamic modeling framework. Simulations may be run with a range of initial conditions and \nparameters for states, behaviors, mechanisms, and environmental processes to understand and visualize network behavior \nunder various conditions. 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