Abstract
It is argued that knowledge engineering should take a cognitive stance, i.e. it should aim for cognitively adequate systems. The notion of cognitive adequacy is unfolded from an idealized, absolutely strong meaning (i.e., a complete model of a human expert) down to the very weak notion of conforming to recognized ergonomic standards. Various ways are proposed to enhance cognitive adequacy in the model-based framework of knowledge engineering. Finally, the relevance of these concepts for expert system application is discussed.
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© 1992 Springer-Verlag Berlin Heidelberg
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Strube, G. (1992). The role of cognitive science in knowledge engineering. 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/BFb0045689
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DOI: https://doi.org/10.1007/BFb0045689
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