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Knowledge representation with and-or-graphs: Comparing the approach of doignon & falmagne with the absynt-diagnostics

  • Models Of Reasoning And Learning
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 438))

Abstract

Doignon & Falmagne as well as the ABSYNT project work in the field of Intelligent Computer-Aided Instruction. Both groups use AND-OR-graphs for knowledge representation. Doignon & Falmagne represent observable empirical data and use it for the assessment of the student's current knowledge state. The ABSYNT project represents the results of a task analysis of the given domain and uses it for the generation of adaptive helps. This report shows the different kinds of knowledge to be represented and the different applications. The comparison gives an impression of how wide the area of useful applications of AND-OR-graphs can be.

sponsored by the Deutsche Forschungsgemeinschaft under Grant No. Mo 292/3

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Douglas H. Norrie Hans-Werner Six

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© 1990 Springer-Verlag Berlin Heidelberg

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Kohnert, K., Janke, G. (1990). Knowledge representation with and-or-graphs: Comparing the approach of doignon & falmagne with the absynt-diagnostics. In: Norrie, D.H., Six, HW. (eds) Computer Assisted Learning. ICCAL 1990. Lecture Notes in Computer Science, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020877

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  • DOI: https://doi.org/10.1007/BFb0020877

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52699-5

  • Online ISBN: 978-3-540-47111-0

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