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Statistical applications of artificial intelligence and knowledge engineering

Published online by Cambridge University Press:  07 July 2009

William A. Gale
William A. Gale
Affiliation:
AT&T Bell Laboratories, 20278, 600 Mountain Avenue, Murray Hill
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Abstract

Knowledge engineering (KE) has now provided some effective techniques for formalization of knowledge about goals and actions. These techniques could open new areas of research to statisticians. Experimental systems designed to assist users of statistics have been constructed in experiment design, data analysis, technique application, and technique selection. Knowledge formalization has also been used in experimental programs to assist statisticians in doing data analysis and in building consultation systems. The best-explored application of KE techniques is building consultation systems. It is now a promising area for development. Analogies with successful artificial intelligence AI applications in other fields suggest other statistical applications worth exploring. Opening new areas to research and providing new tools to users would make considerable changes in the use and production of statistical techniques. However, applying currently available KE techniques will lead to more work for statisticians, not less.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 2 , Issue 4 , December 1987 , pp. 227 - 247
Copyright
Copyright © Cambridge University Press 1987

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References

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