Abstract
Our work is concerned with a central process in knowledge acquisition for case-based expert systems: understanding examples of expert's problem solving traces, in our case worked-out examples in physics textbooks. Based on evidence from psychological research, an active, expectation-driven strategy for example processing is developed. The strategy deals with the initial phases of learning, exploiting case knowledge before relying on general knowledge. We report on first attempts to realize this strategy as a cognitive computer model.
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© 1992 Springer-Verlag Berlin Heidelberg
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Reimann, P., Schult, T.J. (1992). Transforming examples into cases. In: Schmalhofer, F., Strube, G., Wetter, T. (eds) Contemporary Knowledge Engineering and Cognition. Lecture Notes in Computer Science, vol 622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045687
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DOI: https://doi.org/10.1007/BFb0045687
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