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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

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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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Editor information

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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