Alternative Aggregate Combat Modeling Algorithms

Gnosys, the University of Alabama in Huntsville, and SAIC propose that entity level performance data be “rolled-up” into aggregate performance data and used to resolve unit level combat at the unit level. Such an approach for conducting aggregate simulation would realize the advantage of employing validated entity level data but also keep the advantages inherent in aggregate simulation of computational efficiency and faster-than-real-time resolution. Moreover, the technology would eliminate correlation issues between aggregate and entity-level simulations. In Phase I, this approach was explored in the design of a new set of alternative aggregate-level algorithms. These essentially “rolled up” entity level data into unit-level effects without the need for an entity-by-entity time-stepped simulation. For Phase II, we propose to further research the extent, depth and validity of these algorithms by implementing them in actual simulation environments such as the OneSAF entity simulation and the WARSIM aggregate simulation. In Phase II, we hope to show that these algorithms are able not only “roll-up” entity data that pertains to traditional battlefield kinetic effects but also are able to “roll-up” Political Military Economic Social Infrastructure and Information (PMESII) data that influence non-kinetic battlefield effects.