A strategy for near-term success using knowledge-based systems

S. C. Laufmann; S. C. Laufmann

doi:10.1017/S026988890000093X

1987 Volume 2

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A strategy for near-term success using knowledge-based systems

S. C. Laufmann

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Published online: 07 July 2009
The Knowledge Engineering Review 2, Article number: 10.1017/S026988890000093X (1987) | Cite this article

Abstract

Abstract: Knowledge-based System (KBS) technologies have been applied to a variety of knowledge-related tasks with varying degrees of success. Differentiating among classes of knowledge-related tasks, based on the amounts of problem-solving knowledge and case-specific data involved, can provide valuable insight into why this occurs. Based on this comparison, four classes of problems are described. One class, of data-intensive tasks, includes problem types that are difficult or impossible for humans to perform, yet may be solved in a cost-effective manner using currently accessible KBS technology. The characteristic features of problems in this class are given, together with an example of a successfully fielded knowledge-based system that solves a problem from this class.
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S. C. Laufmann. 1987. A strategy for near-term success using knowledge-based systems. The Knowledge Engineering Review. 2: doi: 10.1017/S026988890000093X

S. C. Laufmann. 1987. A strategy for near-term success using knowledge-based systems. The Knowledge Engineering Review. 2: doi: 10.1017/S026988890000093X

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A strategy for near-term success using knowledge-based systems

S. C. Laufmann

Published online: 07 July 2009

The Knowledge Engineering Review 2, Article number: 10.1017/S026988890000093X (1987) | Cite this article

Abstract: Abstract: Knowledge-based System (KBS) technologies have been applied to a variety of knowledge-related tasks with varying degrees of success. Differentiating among classes of knowledge-related tasks, based on the amounts of problem-solving knowledge and case-specific data involved, can provide valuable insight into why this occurs. Based on this comparison, four classes of problems are described. One class, of data-intensive tasks, includes problem types that are difficult or impossible for humans to perform, yet may be solved in a cost-effective manner using currently accessible KBS technology. The characteristic features of problems in this class are given, together with an example of a successfully fielded knowledge-based system that solves a problem from this class.

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Cite this article

S. C. Laufmann. 1987. A strategy for near-term success using knowledge-based systems. The Knowledge Engineering Review. 2: doi: 10.1017/S026988890000093X

S. C. Laufmann. 1987. A strategy for near-term success using knowledge-based systems. The Knowledge Engineering Review. 2: doi: 10.1017/S026988890000093X

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A strategy for near-term success using knowledge-based systems

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