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Validation of Knowledge-Based Systems: The State-of-the-Art in North America

Validation provides evidence upon which users decide whether or not a knowledge-based system (KBS) is reliable. Thus, validation ultimately determines the success or failure of a KBS project. Validation techniques include two classes of test: verification tests yield boolean results (for example, whether the knowledge base (KB) of the system is consistent, according to some formal definition of consistency); evaluation tests do not yield boolean results – their results are subject to interpretation (for example, whether a system performs "acceptably", given that a certain percentage of test cases were processed as expected by the system).1 The importance of validation techniques has lead to a great deal of activity in the research and development of these techniques.