ARTIFICAL INTELLIGENCE (ROBOT JAMMER)

TECHNIQUES WILL BE USED TO DESIGN A ROBOT JAMMER WHICH CAN DEVISE AN OPTIMUM JAMMING STRATEGY. A MODEL OF THE UNIVERSE IN WHICH THE JAMMER WILL OPERATE WILL BE DEVELOPED. THIS MODEL WILL INCLUDE THE VARIOUS FORMS OF ACTIVITY THAT CAN OCCUR WITHIN THE ADVERSARY SYSTEM, ACTIONS THAT THE JAMMER CAN TAKE, AND MODES OF OPERATION DEFINING THE PURPOSE OF THE JAMMING. THE JAMMER'S KNOWLEDGE OF ADVERESARY ACTIVITY IS DERIVED BY INTELLIGENTLY INTERPRETING THE ELECTRICAL SIGNAL ENVIRONMENT MESURED BY ITS SENSORS. THE INTERACTIONS BETWEEN THE ADVERSARY SYSTEM AND THE JAMMER WILL BE MODELED, USING A GAME THEORETICAL APPROACH. ONCE A SUITABLE GAME HAS BEEN SELECTED, A COMPUTER PROGRAM WILL ATTEMPT TO DEVISE AN OPTIMUM STRATEGY FOR PLAYING THE GAME. THIS PROGRAM WILL TAKE ADVANCTAGE OF THE TECHNOLOGY DEVELOPED IN ARTIFICIAL INTELLIGENCE FOR PLAYING GAMES OF IMCOMPLETE INFORMATION. ACTIONS WILL BE DIRECTED BY A PRODUCTION SYSTEM WHICH MAKES DECISIONS BASED UPON THE VALUES OF KEY VARIABLES WHICH MAKE UP A DYNAMIC STATE VECTOR. THIS PRODUCTION SYSTEM WILL BE SELF-MODIFIABLE SO THAT THE SYSTEM CAN LEARN FROM ITS PAST EXPERIENCE TO IMPROVE ITS PERFORMANCE.