Transferring Ownership of ModSAF Behavioral Attributes

摘要

This paper describes an innovative advanced distributed simulation (ADS) architecture that provides improved behavioral representation of STRICOM's Modular Semi-Automated Forces (ModSAF) entities without incorporating additional functionality within ModSAF. A significant shortcoming that has been identified by the ModSAF user community is the predictable nature of human/system performance. Currently, ModSAF entity performance does not vary or degrade as a function of battlefield conditions. In addition, as increased functionality has been placed within ModSAF, it has grown into an extremely complex development environment. The Realistic Entity AbiLity Simulation Suite (REALSS) presented here is an architecture that implements variable and degradable human/system performance for ModSAF entities by transferring the 'ownership' of the entity performance attributes to an external server. The methodology uses a Micro Saint task network crew model linked with a set of taxonomic degradation functions to predict performance. Through DIS PDUs or HLA objects, attributes and interactions, the REALSS provides ModSAF entity performance parameters resulting from nuclear prompt radiation, blast, chemical, and biological environments for the AH64, M1, M2, M3, M109, M577, and T72 vehicles. The SBCCOM/DTRA Nuclear, Chemical, Biological, and Radiological (NCBR) Simulator provides the environmental representation of nuclear events on the synthetic battlefield. A REAL Performance Server uses these environments to determine exposure and system performance for the ModSAF entities. ModSAF entities then behave in a manner on the battlefield that includes variable and degradable performance. This architecture also enables stealth visualization of the appropriate damage to vehicles from blast environments.