The study focuses on the identification of the underlying representational properties of human problem solving and their application to expert systems. In this study the interaction between problem representation (procedural, conceptual, unstructured) and problem type (transformation, arrangement, inducing structure) was observed. The results of this study indicate partly that quantitative and qualitative differences in problem solving performance can be attributed to the form of knowledge representation employed by the problem solver. It is suggested that expert systems could be implemented with different shells or structures according to problem characteristics.
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