LG Based Predictive Technology for Battle Command, Simulation and Training

The goal of this proposal and follow-up development is to apply the Linguistic Geometry (LG) based predictive technology to mission planning and dynamic allocation of operational assets in both Battle Command and Simulation environments. To achieve this goal in Phase II, STILMAN will implement a prototype LG-STRATEGIST enabling the following capabilities with emphasis on integration with FBCB2 and OOS and on evaluation by and transitioning to PEOC3T, PMOOS, RDECOM STTC, and other DoD organizations: a) Rapid construction of new synthetic battlespaces; b) Automatic generation of optimal advantageous strategies for all the sides in a conflict; c) Automatic generation of predictive Red/Blue COA (courses of action); d) Modeling intelligent enemy. The products of this research will be demonstrated in 2 experiments that will assess the contribution of the LG technology to mission planning and the dynamic allocation of operational assets. Ongoing research by the DARPA to increase the utility, (i.e., understanding) of predictive information will be leveraged and focused on the FBCB2 system (Force XXI Battle Command Brigade and Below). By integrating predictive information into the tactical FBCB2 station, comparative experiments will be developed using analysis of variance techniques. As requested by PEOC3T, the experiment process and metrics developed by the DARPA RAID program will be reused and extended to assess the impact of this research on tactical mission performance within upcoming Air Assault Expeditionary Force (AAEF) experiments. While developing LG-STRATEGIST, STILMAN will put a strong emphasis on the development of features reflecting the needs of the sponsoring organizations.