What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems

E. T. Keravnou; J. Washbrook; E. T. Keravnou; J. Washbrook

doi:10.1017/S0269888900005038

1989 Volume 4

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What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems

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Published online: 07 July 2009
The Knowledge Engineering Review 4, Article number: 10.1017/S0269888900005038 (1989) | Cite this article

Abstract

Abstract: First-generation expert systems have significant limitations, often attributed to their not being sufficiently deep. However, a generally accepted answer to “What is a deep expert system?” is still to be given. To answer this question one needs to answer “Why do first-generation systems exhibit the limitations they do?” thus identifying what is missing from first-generation systems and therefore setting the design objectives for second-generation (i.e. deep) systems. Several second-generation architectures have been proposed; inherent in each of these architectures is a definition of deepness. Some of the proposed architectures have been designed with the objective of alleviating a subset, rather than the whole set, of the first-generation limitations. Such approaches are prone to local, non-robust solutions.In this paper we analyze the limitations (under the categories: human-computer interaction, problem-solving flexibility, and extensibility) of the first-generation expert systems thus setting design goals for second-generation systems. On the basis of this analysis proposed second-generation architectures are reviewed and compared. The paper concludes by presenting requirements for a generic second-generation architecture.
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Copyright © Cambridge University Press 19891989Cambridge University Press

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E. T. Keravnou, J. Washbrook. 1989. What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems. The Knowledge Engineering Review. 4:38 doi: 10.1017/S0269888900005038

E. T. Keravnou, J. Washbrook. 1989. What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems. The Knowledge Engineering Review. 4:38 doi: 10.1017/S0269888900005038

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What is a deep expert system? An analysis of the architectural requirements of second-generation expert systems

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