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A terminological qualification calculus for preferential reasoning under uncertainty

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KI-96: Advances in Artificial Intelligence (KI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1137))

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Abstract

We introduce a qualitative model of uncertain reasoning and illustrate its application in the framework of a natural language understanding task. Considering uncertain reasoning as a preferential choice problem between alternative hypotheses, the model we provide assigns quality labels to single evidences for or against a hypothesis, combines the generated labels in terms of the overall credibility of a single hypothesis, and, finally, computes a preference order on the entire set of competing hypotheses. This model of quality-based uncertain reasoning is entirely embedded in a terminological logic framework.

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Authors and Affiliations

  1. Text Knowledge Engineering Lab, Universität Freiburg, Europaplatz 1, D-79085, Freiburg, Germany

    Klemens Schnattinger & Udo Hahn

Authors
  1. Klemens Schnattinger
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  2. Udo Hahn
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Günther Görz Steffen Hölldobler

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© 1996 Springer-Verlag Berlin Heidelberg

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Schnattinger, K., Hahn, U. (1996). A terminological qualification calculus for preferential reasoning under uncertainty. In: Görz, G., Hölldobler, S. (eds) KI-96: Advances in Artificial Intelligence. KI 1996. Lecture Notes in Computer Science, vol 1137. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61708-6_76

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  • DOI: https://doi.org/10.1007/3-540-61708-6_76

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61708-2

  • Online ISBN: 978-3-540-70669-4

  • eBook Packages: Springer Book Archive

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