THE FUNCTION OF VALIDATING OR DISPROVING ORDER OF BATTLE (OB) HYPOTHESES DEVELOPED BY FUSING A SIDE DIVERSITY OF INTELLIGENCE INFORMATION PLAYS A KEY ROLE IN THE TACTICAL COMMANDER'S DECISION MAKING PROCESS SINCE IT PROVIDES INDICATIONS OF ENEMY INTENT.

THE FUNCTION OF VALIDATING OR DISPROVING ORDER OF BATTLE (OB) HYPOTHESES DEVELOPED BY FUSING A SIDE DIVERSITY OF INTELLIGENCE INFORMATION PLAYS A KEY ROLE IN THE TACTICAL COMMANDER'S DECISION MAKING PROCESS SINCE IT PROVIDES INDICATIONS OF ENEMY INTENT. THE MAJOR SOURCE OF THIS TYPE OF ASSESSMENT IS THE SET OF INTELLIGENCE SENSORS MANAGED BY THE INTELLIGENCE STAFF OFFICER (G2). THE MAIN GOAL OF THE PROPOSED EFFORT IS TO EXPLORE THE UTILITY OF ARTIFICAL INTELLIGENCE (AI) TECHNOLOGY TOWARDS THE DEVELOPMENT OF A ROBUST AND DOMAININDEPENDENT SENSOR RESOURCE MANAGEMENT SYSTEM FOR VERIFICATION OF OB HYPOTHESES. THE PRINCIPLE PHASE I OBJECTIVES CONSIST OF IDENTIFYING AN AI-BASED SYSTEM ARCHITECTURE AND PROVIDING A LIMITED-DOMAIN TEST IMPLEMENTATION.