Navy SBIR FY2008.2

Sol No.: Navy SBIR FY2008.2
Topic No.: N08-117
Topic Title: HBM DEPOT
Proposal No.: N082-117-0329
Firm: Soar Technology, Inc.
3600 Green Court
Suite 600
Ann Arbor, Michigan 48105-2588
Contact: Randolph Jones
Phone: (207) 649-1895
Web Site: www.soartech.com
Abstract: Current military M&S systems for training and experimentation rely on encoded human behavior models (HBMs) that must be produced and maintained by teams of subject matter experts (SMEs) and professional knowledge engineers (KEs) in an arrangement that can be time-consuming and expensive. The programming by demonstration (PBD) and machine learning paradigms offer solutions, but are not without challenges, typically producing behaviors that are too simple for operational use, require extensive supplementation by a KE and/or require large sets of examples. Soar Technology has formed a team rich in experience with Navy modeling and simulation, HBM development, artificial intelligence, and serious games for training to propose HBM DEPOT, a tool that supplements simulation-based demonstrations with a novel and intuitive guided after-action whiteboarding session based on existing research and tools. This will result in a system that captures demonstrations of Navy Aviation tactics using a low-cost Delta 3D Navy flight simulator and supplements them with an easy to use diagrammatic representation (pre-loaded with Navy Aviation general domain knowledge) and learning algorithm to generate high-quality HBMs. The HBMs will be suitable for use in any virtual environment where intelligent computer generated forces (CGFs) or non-player characters (NPCs) such as a wingman or sophisticated OPFOR are required.
Benefits: HBM DEPOT would immediately benefit the developers of intelligent training games by simplifying the process and reducing the cost of integrating realistic and humanlike behaviors into 3D gaming platforms. This potential cost savings could be passed on to customers who deploy these systems, and who would, in turn, realize even further savings though the reduced time and manpower required for effective training. Beyond defense training applications, this technology would have a potentially large market worldwide among developers of entertainment and serious games.