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

Published online by Cambridge University Press:  07 July 2009

S. C. Laufmann
S. C. Laufmann
Affiliation:
Pacific Northwest Laboratory,*Richland, Washington, USA
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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.

Type
Commercialisation
Information
The Knowledge Engineering Review , Volume 2 , Issue 3 , September 1987 , pp. 179 - 183
Copyright
Copyright © Cambridge University Press 1987

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