Abstract
This paper discusses representation issues for second generation expert systems. It provides a simple conceptual architecture of a second generation expert system. The realization of the model into an actual system requires several decisions to be taken. In the paper we illustrate how this has been done for a prototype second generation expert system called CONCLAVE. We discuss how a structural model of a domain is used for reasoning and indexing of knowledge gained from experience.
This research is supported by IWONL contract No. 4465, and a European COST-13 grant, project 19 on Machine learning and knowledge acquisition.
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© 1989 Springer-Verlag Berlin Heidelberg
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Van de Velde, W. (1989). (Re)presentation issues in second generation expert systems. In: Morik, K. (eds) Knowledge Representation and Organization in Machine Learning. Lecture Notes in Computer Science, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0017215
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DOI: https://doi.org/10.1007/BFb0017215
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