SBIR-STTR Award

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.

Benefits:
Completion of the Phases II and III of this project will result in new software LG-STRATEGIST providing asymmetric adversary simulation environment. It will serve as a Low Overhead Driver for OneSAF (OOS). With its open architecture components it will require limited further development to support other simulation systems such as the JSAF, Joint Synthetic Battlespace, etc. The most significant advantages of the LG approach are modeling of the intelligent enemy and extraordinarily fast automatic generation of best strategies, tactics, and COA for all the sides of a conflict. Linked to the high fidelity simulation systems as an intelligent force driver, LG-STRATEGIST will revolutionize simulation-based acquisition for the U.S. Army as well as the other branches of the US Armed Forces. This will minimize real life exercises and live prototype development for testing of new weapon systems and equipment (including communication structures and parameters) and CONOPS development. LG-STRATEGIST will permit modeling and evaluation of new conceptual (that is, not yet built) military hardware in terms of its functionalities and new strategic and tactical concepts. With LG-STRATEGIST, the analyst will create a gaming environment populated with the Blue forces armed with the new conceptual hardware as well as with appropriate existing weapons and equipment. This environment will also contain the intelligent enemy with appropriate weaponry and, if desired, with conceptual counters to the new Blue weapons. Within such LG gaming environment, the analyst will run various what-ifs with the LG tools providing the simulated combatants with strategies and tactics attaining their goals with minimal resources spent. If the new hardware functionality has hidden flaws, the simulated enemy guided by the LG strategies would be able to exploit them providing the hardware evaluators with hands-on proof of failure. Moreover, assisted by the analyst, LG-STRATEGIST will discover the direction of changes toward correcting the flaw. Contrariwise, if the new hardware functionality has spectacular advantages, LG-STRATEGIST would help to develop new doctrine by convincingly demonstrating how these advantages could be translated into victory for the Blue forces. This will not only help the evaluators to assess the new hardware’s advantages, it will help to convince the funding agencies, such as Congress, to fund the prototype construction. The following are

Potential Commercial Applications:
1. Defense Information Technology (DIT) market. It is currently estimated that the market size is $15-16 billion annually and it is growing. According to the Joint Vision 2020 document released by the Joint Chiefs of Staff, Information superiority provides the joint force a competitive advantage only when it is effectively translated into superior knowledge and decisions. LG was specifically developed to provide such decisions and LG-STRATEGIST is directly applicable to decision-making. Moreover, STILMAN will have a decisive advantage due to our superior LG technology, which would take other companies at least 4-5 years to develop from scratch only to STILMAN’s present level, even if they would take advantage of all the published LG sources. 2. The Air Traffic Management (ATM) Market ($30 billion annually in the USA). STILMAN has already performed a feasibility study for Boeing in 2000-2001. LG-STRATEGIST will provide vital components for modeling and testing future advanced ATM systems including LG-based sensor network guidance, (air) vehicle guidance, and deconfliction. Initial STILMAN’s penetration into the DIT market will permit us to achieve necessary initial size for advancement into the ATM market. 3. Interactive Entertainment Software (IES) Market ($7-8 billion annually in the USA). Marketing software (that was initially developed for DoD) for entertainment games (flight simulators, etc.) as well as DoD buying COTs software from entertainment games companies became commonplace. However, no advanced decision making engine initially developed for defense has been converted for entertainment games. And that’s precisely what LG-STRATEGIST would accomplish. 4. Network Security and Efficiency (NSE) Market ($7-8 billion annually in the USA). LG capabilities to win the fight against malicious attacks against networks as well as to provide efficient network routing already elicited interest in private and Government organizations. Recently, DARPA ATO invited STILMAN to submit a proposal for network security.

Keywords:
Linguistic Geometry, Predictive COA, simulation, training, autonomous systems, FCS, game theory, LG zones

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.

Keywords:
Linguistic Geometry, Predictive Coa, Simulation, Training, Oos, Fbcb2, Game Theory, Lg Zones