Applications of Expert Systems in Engineering: An Introduction

  • Sargur N. Srihari
Part of the Applied Information Technology book series (AITE)


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.


Expert System Fault Diagnosis Production Rule Human Expert Semantic Network 
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  1. 1.
    E.B. Shortliffe, MYCIN: Computter-Based Medical Consultations, Elsevier, New York (1976) {A successful first generation expert system}.Google Scholar
  2. 2.
    J. McDermott, “R1: A rule-based configurer of computer systems”, Artificial Intelligence,, 19 (1) (1982) ecursor of XCON used at DEC.Google Scholar
  3. 3.
    R.T. Hartley, “CRIB: Computer fault-finding through knowledge engineering”, Computer, 17(3) (March, 1984) {An engineering application}.Google Scholar
  4. 4.
    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}.Google Scholar
  5. 5.
    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}.Google Scholar
  6. 6.
    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}.Google Scholar
  7. 7.
    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}.Google Scholar
  8. 8.
    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}Google Scholar
  9. 9.
    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}.Google Scholar

Further Reading

  1. 10.
    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}.Google Scholar
  2. 11.
    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}.Google Scholar
  3. 12.
    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}.Google Scholar
  4. 13.
    P. Nii, “The blackboard model of problem solving”, AI Magazine, 7: 38–53 (1986) {A tutorial on blackboards to coordinate several knowledge sources}.Google Scholar
  5. 14.
    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.Google Scholar
  6. 15.
    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.Google Scholar
  7. 16.
    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}.Google Scholar

Copyright information

© Springer Science+Business Media New York 1989

Authors and Affiliations

  • Sargur N. Srihari
    • 1
  1. 1.Department of Computer ScienceState University of New York at BuffaloBuffaloUSA

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