Evaluating an Expert System in the Field: Experience with the CORA Expert System

  • Lyna L. Wiggins
  • T. John Kim
  • Ravinder Jain


Most expert systems are built through a process of iteration: from “toy” or prototype systems to more complete and polished systems. At each iteration step, a validation may be conducted. The validation may be as simple as sitting down with the source expert for a run-through of the system to a complex external validation by outside experts (Castore, 1987). Less frequent in the expert systems literature are discussions about how a variety of end users, with varied computer skills and diverse information needs, actually use an expert system in practice. Two recent papers addressing this issue are Berry and Hart (1990) and Irgon, et al. (1990).


Expert System Cost Component Remedial Action Environmental Planning Vapor Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. Berry, D.C. and A.E. Hart, 1990. “Evaluating expert systems,” Expert Systems 7(4):199–207.Google Scholar
  2. Castore, G. 1987, “Validation and Verification for Knowledge-Based Control Systems,” presented at SOAR Conference, NASA/JSC, Houston, TX.Google Scholar
  3. CH2M-Hill, 1989. Cost of Remedial Action Model, Users Manual, Version 2.1, prepared for the U.S. Environmental Protection Agency under contract no. 68–01–7090.Google Scholar
  4. Feigenbaum, E., P. McCorduck, and H.P. Nii, 1988. The Rise of the Expert Company: How Visionary Companies are using Artificial Intelligence to Achieve Higher Productivity and Profits, Times Books, New York.Google Scholar
  5. Fenves, S.J. 1986. What is An Expert System. Expert Systems in Civil Engineering, edited by Celai N. Kostem., American Society of Civil Engineers, New York.Google Scholar
  6. Goodall, A. 1985. The Guide to Expert Systems, Learned Information Ltd., Oxford, England.Google Scholar
  7. Han, S. and Kim, T.J. 1987. “An application of expert system in urban planning: Site selection and analysis,” in T.J. Kim, L.L. Wiggins and J.R. Wright, eds., Expert Systems: Applications to Urban Planning, 1989, Springer-Verlag, NY.Google Scholar
  8. Hart, A., 1986, Knowledge Acquisitions for Expert Systems, McGraw-Hill Book Co., New York.Google Scholar
  9. Irgon, A., J. Zolnowski, K.J. Murray, and M.G. Bellocore, 1990. “Expert System Development: A Retrospective View of Five Systems,” IEEE Expert, June, pp. 25–39.Google Scholar
  10. Kim, T.J., L.L. Wiggins and J.R. Wright, eds., 1989. Expert Systems: Applications to Urban Planning, Springer-Verlag, New York.Google Scholar
  11. Leibowitz, J., 1986. “Useful approach for evaluating expert systems,” Expert Systems. 3(2).Google Scholar
  12. Maher, M.L. (ed.), 1987. Expert Systems for Civil Engineers: Technology and Application, American Society of Civil Engineers, New York.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Lyna L. Wiggins
  • T. John Kim
  • Ravinder Jain

There are no affiliations available

Personalised recommendations