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An expert system for diagnosis and maintaining the AT&T 3B4000 computer: an architectural description
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1 table of contents
Tullahoma, Tennessee, United States
Pages: 36 - 45  
Year of Publication: 1989
ISBN:0-89791-320-5
Authors
James A. Kavicky  AT&T Tier IV Engineering Support, Lisle, IL
George D. Kraft  Illinois Institute of Technology, Chicago, IL
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Major computer vendors have concentrated on enhancing diagnostic and maintainability aspects of their computer systems to permit a prompt repair interval with a minimal amount of technical support interaction. This paper proposes an architectural description for an automated diagnostic and recovery expert system. The authors obtained sufficient domain knowledge of both the AT&T 3B4000 Computer and the AT&T technical support organization and chose the 3B4000 Computer as a vehicle for the research concepts presented. The architectural description presents a concept based on the information provided by AT&T and does not necessarily reflect actual implementation plans within AT&T.The expert system would be capable of intercepting on-line and off-line messages generated on the 3B4000 Computer. Captured messages would be used by the expert system to define recovery actions that would be automatically or manually executed. The recovery mechanism first references on-line general and technical documents. In addition, various established support data bases and an expert knowledge base are referenced. The combination of documented information and expert knowledge guide the recovery mechanism toward a solution set tailored to correct system errors. This multi-level depth reasoning approach expedites expert system deployment by utilizing established information first, while knowledge-base rules and facts are added in parallel to enhance diagnostic and recovery accurary. The same knowledge and data facilities also would be available to system administration and field support personnel for either accessing user documentation and expert knowledge, or updating documented information and/or expanding knowledge base rules.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
ATT88
AT&T 3134000 Computer hardware description, issue 1, select code 303-303, AT&T, 1988.
 
BAL88
Ballaxd, B. W., Hindle, D., Hirschberg, J. Natural language processing. AT&T Technical Journal, vol. 67, AT&T, 1988.
 
CON86
Conry, S. Distributed artificial intelligence in communication systems. Expert Systems in Government Symposium, IEEE Computer Society, 1986.
 
GUP84
Gupta, N. K., and Seviora, R. E. An expert system approach to real time system debugging. First Conference on Artificial intelligence Applications, IEEE Computer Society, 1984.
 
HAN86
Hanson, R. H. Artificial intelligence in network management systems: A total system viewtx)int. Expert Systems in Government Symposium, IEEE Computer Society, 1986.
 
HOW87
Howard, H. C. and Rehak, D. R. KADBASE - A prototype expert system-database interface for integrated CAE environments. Sixth National Conference an Artificial Intelligence, vol. 2, American Association for Artificial Intelligence, 1987.
 
MAR88
Marques, T. E. A symptom-driven expert system for isolating and correcting network faults. IEEE Communications Magazine, IEEE Communications Society, 1988.
 
VES88
Vesonder G. T. Rule-based programming in the UNIXr system. AT&T Technical Journal, vol. 67, AT&T, 1988.
 
XIA86
Xiang, Z., and Sfihari, S. N. Diagnosis using multi-level reasoning. Expert Systems in Government Symposium, IEEE Computer Society, 1986.

Collaborative Colleagues:
James A. Kavicky: colleagues
George D. Kraft: colleagues