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Building an Expert System That Works
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English
Abstract
Although the principles behind expert system design are well understood, the success rate for commercial implementations is still quite low. One of the main risk factors is the difficult and time-consuming task of designing and constructing the problem-solving software itself. Non-Al oriented organizations can increase their likelihood of success by utilizing an existing special-purpose expert system shell, and focusing their efforts on the construction of a domain-specific knowledge base for the shell to use. This paper provides some guidelines for successfully applying special-purpose expert system shells in a commercial environment, and describes how one such shell, built for machine diagnosis, has been successfully applied.
Authors
Citation
Pepper, J., "Building an Expert System That Works," SAE Technical Paper 871539, 1987, https://doi.org/10.4271/871539.Also In
References
- Buchanan, Bruce Shortliffe Edward Rule-Based Expert Systems: the MYCIN Experiments of the Stanford Heuristic Programming Project. Addison-Wesley Reading, Mass 1984
- Knowledge Craft Reference Manual. Carnegie Group Inc 1986
- Kahn, G. Kepner A. Pepper J. TEST, a Model-Driven Application Shell Proceedings AAAI-87 1987
- Kahn, G. S. From Application Shell to Knowledge Acquisition System Proceedings IJCAI-87 1987
- Pepper, J. Kahn G. Knowledge Craft: an Environment for Rapid Prototyping of Expert Systems Proceedings of the SME Conference on AI for the Automotive Industry March 1986
- Pepper, J. Mullins D. Artificial Intelligence Applied to Audio Systems Diagnosis Proceedings of the Int'l Congress on Transportation Electronics 1986
- Pepper, Jeff Kahn Gary S. Repair Strategies in a Diagnostic Expert System Proceedings IJCAI-87 1987