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Knowledge acquisition as an empirically based modelling activity

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Contemporary Knowledge Engineering and Cognition

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 622))

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Abstract

When knowledge engineering is consequently looked upon as scientific discovery, certain prescriptions can be derived about how to observe expertise and how to deal with intermediate stages of the modelling process. These prescriptions concern roles played by underlying assumptions, theories and paradigms of cognitive science and their respective implications upon conduction and interpretation of individual experiments, and the language(s) used in the modelling process. Most essentially, scientific discovery is characterized by planned feedback, including theory based identification of contradicting or falsifying evidence. Some of these characteristics clearly differ from principles suggested in KADS for the respective modelling activities.

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References

  • Breaker, J.A. & Wielinga, B.J. (1987) Use of models in the interpretation of verbal data. In A. Kidd (ed.), Knowledge Acquisition for Expert Systems: A Practical Handbook, (p. 17–44). New York: Plenum.

    Google Scholar 

  • Clancey, W. (1989) The frame of reference problem in the design of intelligent machines. To appear in K. van Lehn & A. Newell (eds.), Architectures for Intelligence: The Twenty-Second Carnegie Symposium on Cognition. Hillsdale: LEA.

    Google Scholar 

  • Ericsson, E.A. & Simon, H.A. (1984) Protocol Analysis. Verbal reports as data. Cambridge, Mass.: The MIT Press.

    Google Scholar 

  • Gigerenzer, G. (1981) Messung und Modellbildung in der Psychologic München: Reinhardt.

    Google Scholar 

  • Heisenberg, W. (1989) Ordnung der Wirklichkeit. München: Piper.

    Google Scholar 

  • Popper, K.R. (1966, 1989) Logik der Forschung. 9. Auflage. Tübingen: Mohr.

    Google Scholar 

  • Schulz, Th., Muthig, K-P., Koeppler, K. (1981) Theorie, Experiment und Versuchsplanung in der Psychologie. Stuttgart: Kohlhammer.

    Google Scholar 

  • Woodward, B.J., Shaw, M.L.G., Gaines, B.R. (1992) The Cognitive Basis of Knowledge Engineering. in this volume

    Google Scholar 

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Authors and Affiliations

  1. Scientific Center Institute for Knowledge Based Systems, IBM Germany, Wilckensstr. la, W-6900, Heidelberg, Germany

    Beate Schlenker & Thomas Wetter

Authors
  1. Beate Schlenker
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  2. Thomas Wetter
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Franz Schmalhofer Gerhard Strube Thomas Wetter

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© 1992 Springer-Verlag Berlin Heidelberg

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Schlenker, B., Wetter, T. (1992). Knowledge acquisition as an empirically based modelling activity. In: Schmalhofer, F., Strube, G., Wetter, T. (eds) Contemporary Knowledge Engineering and Cognition. Lecture Notes in Computer Science, vol 622. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0045690

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  • DOI: https://doi.org/10.1007/BFb0045690

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55711-1

  • Online ISBN: 978-3-540-47277-3

  • eBook Packages: Springer Book Archive

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