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Knowledge elicitation using more than one expert to cover the same domain

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Abstract

Knowledge elicitation is accepted as being one of the most problematic areas in the creation of a knowledge-based system.

A large amount of research has already concentrated on finding more efficient and effective techniques for eliciting knowledge from an individual expert. However, little attention has been given to the involvement of more than one source of expertise in knowledge-based system development.

This paper is based on the authors' practical experience gained when developing a knowledge-based system for the conceptual design of bridges. It shows that the use of more than one expert throughout the knowledge elicitation process can improve both the efficiency of the approach and the quality of the knowledge acquired.

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References

  • Barstow, D. R. (1979) Knowledge Based Program Construction. Elsevier Science Publishing Co. Inc., New York.

    Google Scholar 

  • Bennett, J. S. (1981) On the Structure of the Acquisition Process for Rule Based Systems. In Machine Intelligence: Infotech State of the Art Report, Series 9, No. 3. Pergamon Infotech Ltd, Maidenhead, Berks, pp. 189–204.

    Google Scholar 

  • Boose, J. H. (1986) Rapid acquisition and Combination of Knowledge from Multiple Experts in the Same Domain. Future Computing Systems, 1, 191–216.

    Google Scholar 

  • Brachman, R. J., Amarel, S., Engelman, C., Engelmore, R. S., Feigenbaum, E. A. & Wilkins, D. E. (1983) What are Expert Systems? In. Building Expert Systems (F. Hayes-Roth, D. A. Waterman & D. B. Lenat), Addison Wesley, Reading, Mass.

    Google Scholar 

  • Buchanan, B. G., Sutherland, G. L. and Feigenbaum, E. A. (1969) Rediscovering Some Problems of Artificial Intelligence in the Context of Organic Chemistry. In: Machine Intelligence 5, (eds B. Meltzer & D. Mitchie), Edinburgh University Press, Edinburgh, pp. 253–280.

    Google Scholar 

  • Clancey, W. J. (1981) Methodology for Building an Intelligent Tutoring System, Computer Science Dept. Report No. STAN-CS-81–894. Stanford University, Palo Alto, California.

    Google Scholar 

  • Chung, P. W. H. & Kumar, B. (1987) Knowledge Elicitation Methods: A Case Study in Structural Design. In The Application of Artificial Intelligence Techniques to Civil and Structural Engineering, 1987 (Conf.). Civil-Comp Press, pp. 21–26.

  • Dixon, J. R. & Simmons, M. K. (1983) Computers that Design: Expert Systems for Mechanical Engineers. Computers in Mechanical Engineering. pp. 10–18.

  • Ericsson, K. & Simon, H. A. (1980) Verbal Reports as Data. Psychological Review, 87, 215–251.

    Google Scholar 

  • Fox, J., Myers, C. D., Greaves, M. F. & Pegram, S. (1987) A Systematic Study of Knowledge Based Refinement in the Diagnosis of Leukemia. In Knowledge Acquisition for Expert Systems—A Practical Handbook. (A. L. Kidd), Plenum Press, New York, pp. 73–90.

    Google Scholar 

  • Fox, M. S. et al. (1983) Techniques for Sensor Based Diagnosis. Proc. of the 8th International Conference on AI. pp. 158–163.

  • Gammack, J. G. (1987) Different Techniques and Different Aspects on Declarative Knowledge. In Knowledge Acquisition for Expert Systems—A Practical Handbook (ed. A. L. Kidd). Plenum Press, New York, pp. 137–162.

    Google Scholar 

  • Greenwell, M. (1988) Knowledge Engineering for Expert Systems. Ellis Horwood Ltd.

  • Grover, M. D. (1983) A Pragmatic Knowledge Acquisition Methodology. Proceedings of the 8th International Conference on AI, pp. 436–438.

  • Hartley, R. T. (1982) A Conceptual Basis for Expert Systems Methodology. Proc. of the 2nd British Computer Society Conf. on Expert Systems. Brunel University, Surrey. pp. 47–51.

    Google Scholar 

  • Hayes-Roth, F., Waterman, D. & Lenat, D. (eds) (1983) Building Systems, Reading, Mass., Addison-Wesley.

    Google Scholar 

  • Inder, R., Chung, P. W. H. & Fraser, J. (1987) Towards a Methodology for Incremental System Development. In Proceedings of an SERC Workshop on Knowledge Acquisition for Engineering Applications, (eds C. J. Pavelin & M. D. Wilson) 1987. pp. 44–255.

  • Kidd, A. L. (1987) Knowledge Acquisition: An Introductory Framework. In Knowledge Acquisition for Expert Systems—A Practical Handbook (ed A. L. Kidd). Plenum Press, New York, pp. 1–16.

    Google Scholar 

  • McDermott, J. (1980) R1's Formative Years. AI Magazine, 2, 21–29.

    Google Scholar 

  • McGraw, K. L. & Seale, M. R. (1988) Knowledge Elicitation with Multiple Experts, AI Review, 2, 31–44.

    Google Scholar 

  • Miles, J. C. & Moore, C. J. (1989) An Expert System for the Conceptual Design of Bridges. Proc. Civil-Comp 89: International Conference on the Application of AI Techniques to Civil and Structural Engineering. London, UK, pp. 171–176.

  • Mittal, S. & Dym, C. L. (1985) Knowledge Acquisition from Multiple Experts. AI Magazine, Summer 1985, 32–36.

  • Moore, C. J. (1991) An Expert System for the Conceptual Design of Bridges. Ph.D. Thesis presented to the University of Wales. College of Cardiff, February 1991.

  • Moore, C. J. & Miles, J. C. (1991) The Importance of Detailed KBS Evaluation Intended for Implementation in the Engineering Industry. Computing Systems in Engineering, in press.

  • Shaw, M. L. G. (1988) Problems of Validation in a Knowledge Acquisition System Using Multiple Experts. In European Knowledge Acquisition Workshop. Bonn, pp. 5-2–5-15.

  • Shaw, M. L. G. & Gaines, B. R. (1988) A Methodology for Recognising Concensus, Correspondence, Conflict and Contrast in a Knowledge Acquisition System. 3rd AAAI Sponsored Knowledge Acquisition for Knowledge Based Systems Workshop. Banff. Canada. November, pp. 30-1–30-19.

  • Shortliffe, E. H. (1976) Computer Based Medical Consultations: MYCIN. Elsevier, New York.

    Google Scholar 

  • Slater, P. (1981) Construct Systems in Conflict. In: Recent Advances in Personal Construct Technology (ed. M. L. G. Shaw). Academic Press, London.

    Google Scholar 

  • Smith, R. G. & Baker, J. D. (1983) The Dipmeter Advisory System: A Case Study in Commercial Expert System Development. Proceedings of the 8th International Conference on AI, pp. 158–163.

  • Stephanou, H. E. & Lu, S. Y. (1984) Measuring Concensus Effectiveness by a Generalised Entropy Griterion. Proceedings of 1st Conference on AI Applications. Denver.

  • Trimble, G. & Cooper, C. (1987) Experience of Knowledge Acquisition for Expert Systems in Constructions. In Proceedings of an SERC Workshop on Knowledge Acquisition for Engineering Applications, 1987. Rutherford Appleton Laboratory, Oxford, pp. 7–13.

    Google Scholar 

  • Waterman, D. A. & Jenkins, B. (1979) Heuristic Modelling Using Rule Based Computer Systems. In Terrorism: Threat, Reality. Response (eds R. Kupperman and D. Trent). Hoover Institution Press, Stanford University, California. pp. 285–330.

    Google Scholar 

  • Welbank, M. (1983) A Review of Knowledge Acquisition Techniques for Expert Systems. Pub: Martlesham Consultancy Services, British Telecom Research Laboratories.

  • Welbank, M. (1987) Perspectives on Knowledge Acquisition. In: Proceedings of an SERC Workshop on Knowledge Acquisition for Engineering Applications, 1987. Rutherfora Appleton Laboratory, Oxford, pp. 21–26.

    Google Scholar 

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Moore, C.J., Miles, J.C. Knowledge elicitation using more than one expert to cover the same domain. Artif Intell Rev 5, 255–271 (1991). https://doi.org/10.1007/BF00141757

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