This article demonstrates a new expert system model for knowledge testing, implying broader applicability in fields such as medical diagnostics.
The article proposes an original approach to building tools for knowledge testing using production expert systems. The presence of an inference mechanism and an apparatus for working with inaccurately presented information ensures the non-deterministic nature of the question-answer system. The ability to apply the approach in various fields is provided by the expert system shell. Knowledge testing tasks require the extension of traditional ideas about production expert systems. The article formulates requirements for such systems and defines a knowledge model of EESS (Extended Expert System Shell). The development ideas were mainly born in application to testing students' knowledge, but the proposed capabilities will also be useful in other areas, for example, in medical diagnos-tics – a traditional subject area of expert systems.
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Alexey M. Babanov (2025) studied this question.
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