KNOWLEDGE BASED INTELLIGENCE DATA ANALYSIS

THIS RESEARCH WILL ANALYSE THE USE OF ARTIFICIAL INTELLIGENCE TECHNOLOGY TO HELP ITHE AUTOMATION OF TACTICALLINTELLIGENCE DATA ANALYSIS. THIS INVOLVES ACCOMPLISHING AUTOMATED SCENE ANALYSIS AND SITUATION ASSESSMENT THROUGH THE USE OF MESSAGE-LEVEL DATA ANALYSIS AND MULTI-SOURCE INFORMATION CORRELATION AND FUSION. THE PHASE I EFFORT WILLCONCENTRATE ON TECHNIQUE DEVELOPMENT AND ANALYSIS, FEASABILITY ASSESSMENT AND ON AI SYSTEM DESIGN. PHASE II WILL PRODUCE A PROTOTYPE SYSTEM. THE PHASE I EFFORT WILL ANALYZE AND DESIGN THE KEY COMPONENTS OF AN AI APPROACH TO INFORMATION FUSION INCLUDING KNOWLEDGE ORGANIZATION, HYPOTHESIS MANAGEMENT AND PROCESS CONTROL. ISSUES INVOLVED IN THE REPRESENTATION OF BOTH SPATIAL AND TEMPORAL KNOWLEDGEREQUIRED TO ACCOMPLISH TACTICAL INFORMATION FUSION WILL BE OF PARTICULAR CONCERN. THE EFFORT WILL CONCENTRATE ON DESIGNING AN AI FUSION SYSTEM THAT CAN BE INCORPORATED INTO THE EVOLVING HARDWARE/SOFTWARE TESTBED ENVIRONMENT BEING ESTABLISHED AT THE ARMY SIGNAL WAREFARE LABORATORY. THIS INCLUDES INTERFACING WITH EXISTING (OR UNDER DEVELOPMENT) SCENARIO DRIVERS AND SINGLE SENSOR ANALYSIS SYSTEMS.