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To detect improper knowledge effectively requires a sophisticated model representing the underlying system precisely. The authors propose the Enhanced High-Level Petri net for modeling rule-based systems. Rule inference is modeled exactly and some important aspects in rule-based systems, such as conservation of facts, refraction, and closed-world assumption, are considered. Knowledge verification is explored in this model through the reachability problem by a multiple coloring scheme of tokens. The properties of the reachability problems and related transition sequence problems are described. A comparison of the authors' model with other Petri net models is presented.
knowledge verification, Petri net, reachability problems, rule-based expert systems.
Chih-Hung Wu, Shie-Jue Lee, "Knowledge Verification with an Enhanced High-Level Petri-Net Model", IEEE Intelligent Systems, vol. 12, no. , pp. 73-80, September-October 1997, doi:10.1109/64.621230
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