Abstract

A significant phase in the development of an intelligent agent is the construction of its Knowledge Base (KB) on the basis of which it has to take the appropriate actions. The validation and verification (V&V) of KBs is an important part of any KB system development, ignoring it can result anomalies during run-time. The paper discusses the implementation of a utility for validation and verification of KBs'. The methodology transforms the rules in a KB to an equivalent Petri net representation and then applies the analytical tools ofthe Petri net theory for the detection of errors.

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