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Modeling and simulation has proven an effective tool for analyzing C4ISR systems. C4ISR systems that have been modeled to date include theater, mission, engagement and engineering level systems. However, these models address the C4ISR issues at different levels of detail in time-step, number, and range of variables. Each of these models operates at a relatively fixed level of detail within a well understood framework and is, therefore, relatively easy to simulate an analyze. This means that not just the model, but also the interacting effects of model variables using different levels of detail must be analyzed. To analyze these systems requires more complex tools that can analyze how the choice of value for the stochastic variable, passed between the differing models, impacts the overall simulation behavior. Without this capability, current simulations can only analyze a limited range of possible model results. Data choices that might have a critical impact on model behavior could be missed. The Dynamic Focusing Architecture (DFA) approach is one solution to hit problem.