94-01-940055 General Aviation Pilot Advisory and Training System (GAPATS) This Phase I proposal lays the foundation for an expert system that gives any general aviation (GA) pilot better situational awareness (immediate safety improvements in high workload situations) and provides higher proficiency with a lower training investment. This system will be a practical implementation of research results from a four-year project sponsored by NASA. That project developed artificially intelligent (AI) software algorithms for identification and interpretation of flight profiles while simultaneously issuing advisories for aircraft systems management. All results and demonstrations were computer- interactive simulations 5,6,7,8. GAPAT objective is to transfer that technology to GA aircraft, emphasizing smaller, reciprocating-engine aircraft needs, where the greatest gains in safety and utility appear achievable. Goals of the Phase I effort are 1) characterization of the system's necessary functionality, 2) creation of a flexible software architecture for GAPATS, and 3) identification of the knowledge data base necessary to efficiently implement and integrate these capabilities up through flight demonstrations in Phase II. The Phase II goals are 1) develop prototype GAPATS hardware and software, and 2) evaluate the prototype in realistic flight profiles, using a broad cross- section of GA subject pilots, flown in a research aircraft operated by Texas A&M University (TAMU), the cooperating Research Institution. The potential commercial applications are the same as those motivating NASA's Advanced General Aviation Transport Experiments (AGATE) program, managed by the Short-Haul (General Aviation/Commuter) element of the Office of the Advanced Subsonic Technology Program at Langley Research Center, VA. These applications are for low-cost, computerized expert systems to improve the utility of single-engine, single-pilot aircraft. We propose a cockpit system to reduce pilot training time and to obtain and maintain safe operating skills. The potential market for small GA training aircraft and those used for personal cross- country transportation is 75,000 to 80,000 users, according to NASA statistics. Knowledge Based Systems Inc 1408 University Dr East College Station, TX 77840-2335 Paula S. Dewitte 409-260-5274 Texas Engineering Experiment Station Texas A&M University College Station, TX 77843