Knowledge Acquisition for Expert System Design

  • Spyros Tzafestas
  • Alex Adrianopoulos


This chapter deals with the knowledge acquisition (or elicitation) problem that appears in the design and development of expert systems. This is actually the problem that delays up very much the construction of expert systems and generates major obstacles for their application and acceptance. This is so, since the acquisition of the knowledge from human experts requires special skills and abilitites by the knowledge engineers, as well as the application of techniques with an interdisciplinary character.


Expert System Knowledge Acquisition Human Expert Knowledge Engineer Budget Setting 
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.


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  1. 1.
    McTear, Michal F., and Anderson, Terry J., “Understanding Knowledge Engineering,” John Wiley and Sons, 1990.Google Scholar
  2. 2.
    Tuthill, Steven, “Knowledge Engineering, Concepts and Practices for Knowledge-Based Systems,” Tab Books, 1990.Google Scholar
  3. 3.
    Chorafas, Dimitris, “Knowledge acquisition, Knowledge representation, the role of the knowledge engineer,” Van Nostrand Reinhold, 1990.Google Scholar
  4. 4.
    Hart, Anna, “Knowledge Acquisition for Expert Systems,” Kogan Page, 1990.Google Scholar
  5. 5.
    Diaper, D., “Knowledge Elicitation, Principles, Techniques, and Applications,” Ellis Horwood Ltd., 1989.Google Scholar
  6. 6.
    Greenwell, M., “Knowledge Engineering for Expert Systems,” Ellis Horwood Ltd., 1988.Google Scholar
  7. 7.
    Tzafestas, S. G., “Introduction to Artificial Intelligence and Expert Systems,” Papasotiriou Books Athens, 1990.Google Scholar
  8. 8.
    Bowerman, Robert and Glover, David, “Putting Expert Systems into Practice,” Van Nostrand Reinhold, 1988.Google Scholar
  9. 9.
    Kidd, Alison, “Knowledge Acquisition for Expert Systems,” Plenum Press, 1987.CrossRefGoogle Scholar
  10. 10.
    Tzafestas, S. G., “Knowledge-Based System Diagnosis, Supervision and Control,” Plenum Press, N. Y. - London, 1989.Google Scholar
  11. 11.
    Winograd, Terry, and Flores, Fernando, “Understanding Computers and Cognition,” Addison-Wesley Publishing Co., 1987.Google Scholar
  12. 12.
    Hayes-Roth, F., Waterman, D. A., and Lenat, D. B., “Building Expert Systems,” Addison-Wesley Publishing Co., 1986.Google Scholar
  13. 13.
    Dreyfus, H. and Dreyfus, S., “Mind over Machine, The Power of Human Intuition and Expertise in the Era of the Computer,” New York, The Free Press, 1986.Google Scholar
  14. 14.
    Jackson, Peter, “Introduction to Expert Systems,” Addison-Wesley Publishing Co., 1986.MATHGoogle Scholar
  15. 15.
    Harmon, Paul, and King, David, “Expert Systems, Artificial Intelligence in Business,” John Wiley and Sons, 1985.Google Scholar
  16. 16.
    Bouwman, M. J., “The use of protocol analysis in Accounting,” Accounting and Finance, May 1985.Google Scholar
  17. 17.
    Tzafestas, S. G., “Knowledge-Based Approach to System Fault Diagnosis,” In Fault Diagnosis of Dynamic Systems, (Ed. R. Patton, P. Frank, P. Clark), Prentice Hall, 1989.Google Scholar
  18. 18.
    Maroldt, J., “Proposition d’une Methode et d’Outils pour la Specification de Systemes Orientes Diagnostic,” 2nd Colloque International d’intelligence Artificielle de Marseille, 1986.Google Scholar
  19. 19.
    Maroldt, J., “A Specification Method for Diagnostic Systems in Large Industrial Environments,” In Knowledge Based System Diagnosis, Supervision and Control, (S. G. Tzafestas, Ed.), Plenum, N. Y. - London, 1989.Google Scholar
  20. 20.
    Moore, R. L., Haewkinson, L. B., Knickerbocker, C. G., and Churchman, L. M., “Real-Time Expert System for Process Control,” Proc. 1st Conf. on Artificial Intelligence Applications, Denver, USA, 1984.Google Scholar
  21. 21.
    Moore, R. L. and Kramer, M. A., “Expert Systems in On-line Control,” Proc. ASILOMAR, USA, 1986.Google Scholar
  22. 22.
    Tzafestas, S. G., Abu El Ata-Doss, S., and Papakonstantinou, G., “Expert System Methodology in Process Supervision and Control,” In Knowledge Based System Diagnosis, Supervision and Control (S. G. Tzafestas, Ed.), Plenum, N. Y. - London, 1989.Google Scholar
  23. 23.
    Abu El Ata-Doss, S., and Brunet, J., “On-line Expert Supervision for Process Control,” Proc. 25th IEEE Conf. on Decision and Control, Athens, Greece, 1986.Google Scholar
  24. 24.
    Ziarko, W. and Katzberg, J. D., “Control Algorithm Acquisition, Analysis and Reduction: A Ma chine Learning Approach,” In Knowledge Based System Diagnosis, Supervision and Control (S. G. Tzafestas, Ed.), Plenum, N. Y. - London, 1989.Google Scholar
  25. 25.
    Ziarko, W., “On Reduction of Knowledge Representation,” Proc. 2nd Symp. Methodologies for Intelligent Systems, Charlotte, 1987.Google Scholar
  26. 26.
    Wong, S. K. M. and Ziarko, W., “IFER: An adaptive Decision Support System,” Proc. 6th Int. Workshop on Expert Systems and Their Applications, Avignon, France, 1986.Google Scholar

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© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Spyros Tzafestas
  • Alex Adrianopoulos

There are no affiliations available

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