BATTLEFIELD ASSESSMENT AND DECISION ASSISTANCE SYSTEM USING NEURAL NETWORKS AND AN EXPERT SYSTEM DIRECTOR

THE U.S. ARMY HAS IDENTIFIED A NEED FOR COMPUTER-BASED DECISION AIDS FOR BATTLEFIELD PARAMETER ANALYSIS, LOGISTICS ASSESSMENT AND COMMAND DECISION RECOMMENDATION. TO ADDRESS THIS NEED, AMERICAN RESEARCH CORPORATION OF VIRGINIA (ARCOVA) PROPOSES AN ARTIFICIALLY INTELLIGENT ASSESSMENT AND DECISION RECOMMENDATION ASSISTANT CAPABLE OF ANALYZING ENVIRONMENTAL AND TOPOGRAPHICAL PARAMETERS AND PROVIDING RESOURCE DEPLOYMENT SUGGESTIONS AND LOGISTICAL SUPPORT RECOMMENDATIONS. THE PROPOSED SYSTEM IS A SET OF NEURAL NETWORKS CONTROLLED BY AN EXPERT SYSTEM. PROGRAM OBJECTIVES INCLUDE DEVELOPMENT OF ALGORITHMS FOR THE ANALYSIS OF ENVIRONMENTAL AND TOPOGRAPHIC PARAMETERS AS COMPARED WITH RESOURCE PERFORMANCE AND AVAILABILITY, DEVELOPMENT OF NEURAL NETWORK PARADIGMS AND DEVELOPMENT OF AN EXPERT SYSTEM OVERSEER CAPABLE OF COMMAND DECISION RECOMMENDATIONS. SUCCESSFUL COMPLETION OF THESE OBJECTIVES WILL RESULT IN A COMMAND DECISION RECOMMENDATION SYSTEM FOR TACTICAL APPLICATIONS. THE SIGNIFICANCE OF THIS EFFORT IS THE INNOVATIVE COMBINATION OF NEURAL NETWORKS AND EXPERT SYSTEMS FOR DETAILED ANALYSIS OF OPERATIONAL SCENARIOS AND RECOMMENDED RESPONSES. SINCE NEURAL NETWORKS HAVE BEEN DEMONSTRATED TO BE FASTER AND MORE ACCURATE THAN MANY TRADITIONAL DATA ANALYSIS TECHNIQUES AND EXPERT SYSTEMS HAVE PROVEN TO BE WELL SUITED FOR COMPLEX DECISION ASSESSMENT, ARCOVA ANTICIPATES POSITIVE RESULTS IN THE USE OF NEURAL NETWORKS AND EXPERT SYSTEMS AS A TACTICAL COMMAND DECISION RECOMMENDATION SYSTEM.