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11 April 2008 Methodologies for aggregating large hierarchical simulation models
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This research investigates how aggregation is currently conducted for simulation of large systems. The focus is on the exploration of the different aggregation techniques for hierarchical lower-level (higher resolution) models into the next higher-level. We develop aggregation procedures between two simulation levels (e.g., aggregation of mission level models into a campaign level model) to address how much and what information needs to pass from the high-resolution to the low-resolution model in order to preserve statistical fidelity. We present a mathematical representation of the simulation model based on network theory and procedures for simulation aggregation that are logical and executable. The proposed process is a collection of various conventional statistical and aggregation techniques, but we present them in a coherent and systematic manner. Our desired real-world application for the developed simulation aggregation process is in the area of military combat. We show preliminary results as applied to a complex hierarchical flying training model. There is no best universal aggregation technique for different simulation models; however, the method developed here is a well-defined set of procedures for statistically sound simulation model aggregation.
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June D. Rodriguez, John O. Miller, Kenneth W. Bauer Jr., and Robert E. Neher Jr. "Methodologies for aggregating large hierarchical simulation models", Proc. SPIE 6965, Modeling and Simulation for Military Operations III, 69650C (11 April 2008);

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