Abstract
Computer simulation and expert systems technologies have the same goal: the study of intractable, complex systems for which standard algorithmic methods of study are inadequate. An expert system can be interfaced with a graphic computer simulation to reason about physical systems. Such an expert system needs the ability to reason qualitatively about simulation objects. This reasoning includes temporal, spatial, and causal (cause and effect) reasoning. This paper describes an expert-system/graphic-computer-simulation interface for an Intelligent Simulation Training System (ISTS) which is currently under development. Important design considerations include the reasoning tasks involved, mechanisms for reasoning about physical systems, and machine perception of simulation data for use by the expert system. It is necessary to carefully design the interface between a graphic computer simulation and an expert system in order to realize automated, intelligent training related to physical systems.
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