Control and integration of diverse knowledge in a diagnostic expert system

Authors:
Pamela K. Fink
Affiliations:
Southwest Research Institute, San Antonio, Texas
Venue:
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Year:
1985

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Abstract

Though current expert system technology has become a major success, existing expert systems often fall short of human expertise In many ways. One Important area is in the use of more basic, deep knowledge as an enhancement to the shallow, surface knowledge commonly employed. The Integrated Diagnostic Model attempts to exploit the use of both types of knowledge by fitting the appropriate knowledge representation and utilization techniques to each. The result is two separate and Independent expert systems which are then integrated and controlled by a higher-level module called the executor.