LG Based Predictive Technology for Simulation and Training

The need for developing and fielding decision aides based on “predictive technologies” is emphasized in the topic. Furthermore, the topic states that “[such technologies] and the associated training methods to increase their efficacy, are desperately needed by military Commanders and the civilian community (i.e., federal, local and state Governments)”. Unfortunately, the present day simulation tools, such as OneSAF (Semi-Automated Forces) family of tools, are not by themselves sufficient to fulfill the needs for “predictive technologies” and “the associated training methods”. STILMAN Advanced Strategies (STILMAN) has close familiarity with such tools due to the extensive work on the DARPA RAID project, where STILMAN has developed ARM-S, the RAID adversarial reasoning component based on the theory and technology of Linguistic Geometry (LG). In addition, STILMAN has been involved in several projects related to application of the LG based technology to training including LG-EXPERT for US Army Research Institute and LG-TRAINER for Joint Warfighting Center. In the following sections, we will provide arguments for exceptional suitability of the LG approach to support the needed predictive technologies and decision aids. Moreover, the LG based predictive technology combined with the emerging OOS (“Objective One-SAF”) will provide a backbone for the associated training methods to increase their efficacy in the battlefield and for civilian applications.