Knowledge acquisition for expert systems

  • B. J. Wielinga
  • B. Bredeweg
  • J. A. Breuker
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 345)


Expert System Knowledge Acquisition Design Element Knowledge Source Functional Block 
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.

12. References

  1. Anjewierden, A., (1987), Knowledge acquisition tools, AI-Communications, 0, p.29–39.Google Scholar
  2. Barthelemy S., Edin G., Toutain T., Becker S., (1987), Requirements Analysis in KBS Development, Cap Sogeti Innovation, Esprit Project P1098, Deliverable D3.Google Scholar
  3. Bobrow D.G. (ed.), (1984), Qualitative Reasoning about Physical Systems, Elseviers Science Publishers B.V., Amsterdam.Google Scholar
  4. Brachman R.J., (1979), On the Epistemological status of semantic networks, In: Associative Networks, N.V. Findler ed., p. 5. Academic Press, New York.Google Scholar
  5. Brachman R.J., Schmolze J.G., (1984), An overview of the KL-ONE knowledge representation system, Cognitive Science, 9, p. 171–216.Google Scholar
  6. Bredeweg B, & Schreiber G., & Wielinga B.J., (1988), Towards a framework for KBS Design, University of Amsterdam, Amsterdam.Google Scholar
  7. Breuker, J.A. and Wielinga, B.J. (1983) Analysis techniques for knowledge based systems, Report 1.2, University of Amsterdam.Google Scholar
  8. Breuker, J.A. and Wielinga, B.J. (1984) Techniques for knowledge elicitation and analysis, Report 1.5, University of Amsterdam.Google Scholar
  9. Breuker J. (ed.), Wielinga B., van Someren M., de Hoog R., Schreiber G., Bredeweg B., Wielemaker J., Billeault J-P., Davoodi M., Hayward S., (1987), Model Driven Knowledge Acquisition — Interpretation Models, University of Amsterdam, Esprit Project P1098, Deliverable D1.Google Scholar
  10. Breuker, J.A. & Wielinga, B.J. (1987), Use of models in the interpretation of verbal data, In: Knowledge elicitation for expert systems: a practical handbook, A. Kidd, (ed.), Plenum Press, New York.Google Scholar
  11. Buchanan B.G., Shortliffe E. H., (1984), Rule-based expert systems, Addison-Wesley Publishing Company, Reading Massachusetts.Google Scholar
  12. Bundy A. (ed.), (1985), A Catalogue of AI techniques, Springer-Verlag, New York.Google Scholar
  13. Burton, A.M., & Shadbolt, N.R., & Hedgecock, A.P., & Rugg, G., (1987), A formal evaluation of knowledge elicitation techniques for expert systems: Domain 1, Proceedings of the workshop: knowledge acquisition for knowledge-based systems, Reading University, UK.Google Scholar
  14. Chandrasekaran B., (1987), Towards a functional architecture for intelligence based on generic information processing tasks, Proceedings of IJCAI-87, Milano Italy, p1183–1192.Google Scholar
  15. Clancey, W. J. (1985), Heuristic classification, Artificial Intelligence, 27, p215–251.Google Scholar
  16. Ericsson, K. A., and Simon, H. A., (1980), Verbal reports as data, Psychological Review, 87, p215–251.Google Scholar
  17. Greef, P. de, & Breuker, J., & Schrieber, G., & Wielemaker., (1988), StatCons: knowledge acquisition in a complex domain, Proceedings of the ECAI-88, Munich, Germany, (forthcoming).Google Scholar
  18. Hayes-Roth, F. & Waterman, D.A. & Lenat, B.D. (eds), (1983), Building expert systems, Reading, MA: Addison-Wesley.Google Scholar
  19. Hayward S.A., (1987), The KADS Methodology: Analysis and Design for Knowledge Based Systems, STC, Esprit Project P1098, Synthesis Report Y1.Google Scholar
  20. Hayward S.A., (1987), How to build knowledge systems; techniques, tools, and case studies, Proceedings of 4th annual Esprit conference, p665–687, North-Holland, Amsterdam.Google Scholar
  21. Hayward, S.A., & Wielinga, B.J., & Breuker, J.A., (1987), Structured analysis of knowledge, Int. J. Man Machine studies, 26, p487–498.Google Scholar
  22. Hawkins, D., (1983), An analysis of expert thinking, Man-Machine Studies, 18, p1–47.Google Scholar
  23. Keravnou, E.T., & Johnson, L., (1986), Component expert systems: A case study in fault diagnosis, Kogan Page Ltd, London.Google Scholar
  24. Laird, J.E. & Newell, A. & Rosenbloom, P.S., (1987), SOAR: An architecture for general intelligence, Artificial Intelligence, 33, p1.Google Scholar
  25. McDermott, D., (1980), R1: An expert in the computer systems, Proceedings of the AAAI-80, p269–271.Google Scholar
  26. Miller, P.L. (1984), A critiquing approach to expert computer advice: ATTENDING, Boston: Pitman.Google Scholar
  27. Moran, T.P., (1981), The command language grammer: a representation for the user interface of interactive computer systems, Int. J. Man Machine Studies, 15, p3–50.Google Scholar
  28. Musen, M.A., & Fagan, L.M., & Combs, D.M., & Shortliffe, E.H., (1986), Using a domain model to drive an interactive knowledge editing tool, Proceedings of the knowledge acquisition for knowledge-based systems workshop, p33–0, Banff, Canada.Google Scholar
  29. Newell, A., (1982), The knowledge level, Artificial Intelligence, 18, p87.Google Scholar
  30. Newell, A., & Simon, H.A., (1972), Human problem solving, Prentice-Hall, Englewood Cliffs.Google Scholar
  31. Pollack, M., & Hirschberg, J., Weber, B., (1982), User participation in the reasoning processes of expert systems, Proceedings of the AAAI-82, Pittsburgh, p358–361.Google Scholar
  32. Rauch-Hindin, W.B., (1986), Artificial intelligence for business, science, and industry, vol 1-fundamentals, Prentice-Hall.Google Scholar
  33. Rich E., (1983), Artificial Intelligence, McGraw-Hill, Singapore, London.Google Scholar
  34. Schreiber G., & Bredeweg B., & Davoodi M., & Wielinga B., (1988), Towards a design methodology for KBS, Deliverable task B2, Esprit Project P1098, University of Amsterdam, Amsterdam.Google Scholar
  35. Shortliffe E.H., (1979), Computer-based medical consultations: Mycin, American-Elsevier, New York.Google Scholar
  36. Sleeman, D., & Brown, J.S., (1982), Intelligent tutoring systems, New York, Academic press.Google Scholar
  37. Steels L., (1987), The Deepening of Expert Systems, AI-Communications, 0, p9–16.Google Scholar
  38. Wielinga B., Breuker J., (1986), Models of Expertise, In: Proc. ECAI, Brighton, UK, p306–318.Google Scholar
  39. Young R.M., (1987), Role of intermediate representations in knowledge elicitation, Proceedings of the Expert Systems '87 (BCS), Brighton, UK.Google Scholar
  40. Yourdon E., Constantine L., (1978), Structured Design: A discipline of Computer Program and System Design, Yourdon Press.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • B. J. Wielinga
    • 1
  • B. Bredeweg
    • 1
  • J. A. Breuker
    • 1
  1. 1.Department of Social Science Informatics (S.W.I.)University of AmsterdamAmsterdamThe Netherlands

Personalised recommendations