Artificial intelligence modelling of control systems

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Abstract
The field of control systems simulation needs artificial intelligence technology as much as expert systems need systems simulation tools. A functional approach for the design of Expert Systems that perform model generations and simulations is proposed. A differential games simulator design is chosen to exemplify the above ideas. The discrete-event approach, based on the geometry of the game is proposed. Results are comparable with the simu lation results obtained using the imperative approach, but the interrogative approach offers faster execution and clearer sim ula tor definition. Knowledge representation of the differential games models is described using Semantic Networks. The model genera tion methodology is a blend of several problem-solving para digms, and the hierarchical dynamic goal system construction serves as the basis for model generation. Prolog-based imple mentation of the system is suggested.

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