Front-end Controller for an Intelligent Synthetic Forces Simulation Engine

"The Battle Force Tactical Training (BFTT) system provides realistic, high-stress combat team training. Current implementation relies upon pre-scripted simulation in the synthetic battlespace, resulting in rigid and non-interactive behavior. JSAF modelshave been integrated into BFTT to begin addressing limitations. However, BFTT must be further enhanced to 1) provide an operator interface to facilitate dynamic instantiation, monitoring and tasking ISF entities; and 2) improve representation and reasoningcapabilities of ISF entities. This paper proposes developing a "distributed reasoning" architecture to support new behavioral component integration and take advantage of technologies and approaches not supported by JSAF. These "plug-able" behavioralentities will be attached to BFTT via an HLA "bus" and will drive existing JSAF physical models via the SAF Generic Model Interface. Exploring this new architecture and as proof of concept, a well-understood/simple behavioral model will be re-implementedusing LISA, an open source platform supporting intelligent software agent development. Finally, to support operator interaction, a dynamic, enhanced representation of entity subsystems will be developed. This capability will allow BFTT to 1) observe ormanipulate a synthetic entity's reasoning and behavioral models interactively; and 2) add/remove behaviors during runtime. The proposed architecture will significantly enhance the combat trainin