AFORIZM approach: Creating situations to facilitate expertise transfer

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 867)


The recognition of the fact that a human expert is often incapable of realizing and reporting his own knowledge induces to search for the situations that might facilitate the processes of recollection and verbalization of the expertise. Such situations were found in cognitive psychology and proved to be of great use for the acquisition of knowledge about properties of objects. Suggested here are some other situations and knowledge elicitation methods based on them. One method is applicable to obtain criteria and preferences for solving the tasks of optimum selection and the other is designed to elicit knowledge about actions to be used in planners. The situations productive for knowledge elicitation can be generated by the use of spatial metaphors and graphic images which provide a vivid, easily perceived and understood form of the tasks given to the expert. The examples of images fruitful for the elicitation of different types of knowledge are given.


Knowledge Acquisition Text Form Graphic Image Graphic Scene Knowledge Elicitation 
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. 1.
    Shaw, M.L.G., Gaines, B.R.: KITTEN: knowledge initiation and transfer tools for expert and novices. Int. J. Man-Machine Studies 27 (1987) 251–280Google Scholar
  2. 2.
    Boose, J.H., Shema, D.B., Bradshaw, J.M.: Recent progress in Aquinas: a knowledge acquisition workbench. Proceedings of the European Knowledge Acquisition Workshop (EKAW'88) (1988) 2.1–2.15Google Scholar
  3. 3.
    Cooke, N.M., McDonald, J.E.: The application of psychological scaling techniques to knowledge elicitation for knowledge-based systems. Int. J. Man-Machine Studies 26 (1987) 533–550Google Scholar
  4. 4.
    Chignell, M.H.: The use of ranking and scaling techniques in knowledge acquisition. Expert systems in government, Symposium (1986) 64–72Google Scholar
  5. 5.
    Anjewierden, A.: Knowledge acquisition tools. AI Communications 0 (1987) 29–38Google Scholar
  6. 6.
    Gruber, T.R.: Acquiring strategic knowledge from experts. Int. J. Man-Machine Studies 29 (1988) 579–597Google Scholar
  7. 7.
    Kodratoff, Y., Tecuci, G.: Learning at different levels of knowledge. Proceedings of the European Knowledge Acquisition Workshop (EKAW'88) (1988) 3.1–3.17Google Scholar
  8. 8.
    Linster, M.: A knowledge elicitation tool for expert systems. Proceedings of the European Knowledge Acquisition Workshop (EKAW'88) (1988) 4.1–4.19Google Scholar
  9. 9.
    Noble, D.F.: Schema-based knowledge elicitation for planning and situation assessment aids. IEEE Trans. on System, Man and Cybernetics 19 (1989) 473–482Google Scholar
  10. 10.
    Berg-Cross, G., Price, M.E.: Acquiring and managing knowledge using a conceptual structures approach: introduction and framework. IEEE Trans. on System, Man and Cybernetics 19 (1989) 513–527Google Scholar
  11. 11.
    Andrienko, G., Andrienko, N., Ginkul, G., Solowiev, S.: Automatized Systems for Knowledge Acquisition. Computer Science Journal of Moldova 1 No.3 (1993) Kishinev, 42–50Google Scholar
  12. 12.
    Console, L., Fossa, M., Torasso, P.: Acquisition of causal knowledge in the CHECK system. Computers and Artificial Intelligence 8 (1989) 323–345Google Scholar
  13. 13.
    Eisenstadt, M., Dominique, J., Rajan, T., Motta, E.: Visual knowledge engineering. IEEE Trans. on Software Engineering 10 (1990) 1164–1177Google Scholar
  14. 14.
    Lee, N.S.: Graphical knowledge programming with KNAPS. Int. J. Man-Machine Studies 31 (1989) 611–641Google Scholar
  15. 15.
    Lee, J.K., Lee, I.K., Sung Mahn Ahn: Automate rule generation by the transformation of expert's diagram:LIFT. Int. J. Man-Machine Studies 32 (1990) 275–292Google Scholar
  16. 16.
    Steels, L.: The deepening of expert systems. AI Communications 0 (1987) 9–16Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1994

Authors and Affiliations

  1. 1.Pushchino State UniversityMoscow regRussia

Personalised recommendations