Abstract
A human expert possesses knowledge about a domain, has an understanding of domain problems and has some skill at solving problems. An expert system for a given domain is a computer program that is capable of solving problems at a performance level comparable to that of most human experts in that domain.
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References
E.B. Shortliffe, MYCIN: Computter-Based Medical Consultations, Elsevier, New York (1976) {A successful first generation expert system}.
J. McDermott, “R1: A rule-based configurer of computer systems”, Artificial Intelligence,, 19 (1) (1982) ecursor of XCON used at DEC.
R.T. Hartley, “CRIB: Computer fault-finding through knowledge engineering”, Computer, 17(3) (March, 1984) {An engineering application}.
C.H. Wang and S.N. Srihari, “Object recognition in structured and random environments: locating address blocks on mail pieces”, Proceedings of the National Conference, on Artificial Intelligence, (AAAI-86), Philadelphia 1133-1137 (August, 1986) {A vision system using blackboard architecture under development for the U.S. Postal Service}.
D. Niyogi and S.N. Srihari, “A rule-based system for document understanding”, Proceedings of the National Conference, of Artificial intelligence (AAAI-86), Philadelphia 789-793 (August, 1986) {A vision system being developed in collaboration with Xerox Webster Research Center}.
R. Kumar and S.N. Srihari, “An expert system for interpreting cranial CT scans”, Proceedings of Expert Systems in Government Symposium, McLean, (AAAI-86), Philadelphia, August 1986. (AAAI-86), Philadelphia 548-557 (August, 1986, October 1985) {A vision system done in collaboration with SUNY Radiology Department}.
Z. Xiang, S.N. Srihari, S.C. Shapiro and J.G. Chutkow, “Analogical and propositional representations of structure in neurological diagnosis”, Proceedings of IEEE Artificial intellgence Applications Conference, Denver 127-132 (December, 1984) {Explores spatial knowledge representation issues}.
Z. Xiang and S.N. Srihari, “Diagnosis based on empirical and model knowledge”, Sixth international Workshop on Expert Systems, Avignon, France 835-848 (April, 1986) {Describes a multi-level approach to diagnosis}
M.R. Taie, S.N. Srihari, J. Geller, and S.C. Shapiro, “Device representation using instantiation rules and structural templates”, Proceedings of the Canadian Artificial Intelligence, Conference, Montreal 124-128 (May, 1986) {A theory of device representation under development for VMES}.
Further Reading
W.F. Clocksin and C.S. Mellish, Programming in Prolog, Springer-Verlag, New York (1981) {An introductory text on PROLOG which is more commonly used as an expert systems development tool in Europe}.
R. Fikes and T. Kehler, “The role of frame-based representation in reasoning”, Communications of the ACM, 28(9) (September, 1985) {The originators of KEE describe its theoretical foundations}.
C.L. Forgy, “OPS5 User’s Manual”, Technical Report CMU-CS-81-135, Department of Computer Science, Carnegie-Mellon University, Pittsburgh, PA (1981) {Readable introduction and manual}.
P. Nii, “The blackboard model of problem solving”, AI Magazine, 7: 38–53 (1986) {A tutorial on blackboards to coordinate several knowledge sources}.
S.C. Shapiro, “The SNePS semantic network processing system”, in N.V. Findler (ed.), Associative Networks: the Representation and Use of Knowledge by Computers, Academic Press 179-203 (1979) troduction to SNePS by its inventor.
D. Sriram and R. Adey (eds.), Applications of Artificial intelligence in Engineering Problems, Proceedings of the First International Conference, Southampton. England, Springer-Verlag, New York (1986) cludes papers concerning applications of expert systems in a variety of engineering problems.
P.H. Winston, Artificial intelligence (second edition), Addison-Wesley (1984) {Excellent introductory text on artificial intelligence that contains a particularly lucid chapter on expert systems methodology}.
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© 1989 Springer Science+Business Media New York
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Srihari, S.N. (1989). Applications of Expert Systems in Engineering: An Introduction. In: Tzafestas, S.G. (eds) Knowledge-Based System Diagnosis, Supervision, and Control. Applied Information Technology. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-2471-1_1
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DOI: https://doi.org/10.1007/978-1-4899-2471-1_1
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