This research developed a disaggregation taxonomy, a representative set of algorithms, and tests for consistency to maximize the consistency of representation in a vertical integration of dissimilar combat simulations. An experiment was designed and executed to test the quality of the new algorithms. The experiment demonstrated that the recommended algorithms, and tests for consistency are feasible to implement and provided a reasonable “level playing surface” in that shifts between levels of detail can be prevented from significantly biasing the outcomes of a simulation exercise. The disaggregation taxonomy was most welcomed since there existed none previously.;Three criteria for consistency were developed to determine the goodness of the disaggregation algorithms and the three disaggregation approaches: (1) Current Data, (2) Current/Archived Data, and (3) the Data/History.;For logical consistency, all three approached performed well. For operational equivalence, the Data/History approach had the smallest absolute difference, followed by the Current/Archived Data approach, and the Data Only approach performed the worst. For tactical equivalence, test showed that the Data/History approach had the smallest absolute difference, followed closely by the Current/Archived Data approach, while the Data Only approach performed the worst.
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