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Approximate validity

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Learning and Reasoning with Complex Representations (PRICAI 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1359))

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Abstract

We discuss the nature of argument. We look more closely at the two main forms of nonmonotonic inference. We present a simple semantics for them, due to Teng. We show how this natural semantics leads to a characterization of approximate validity in terms of sets of models. Various of Lifschitz's benchmarks are discussed in this framework.

Research for this work was supported by the National Science Foundation, grant IRI-9411267

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References

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Author information

Authors and Affiliations

  1. Computer Science and Philosophy, University of Rochester, 14627, Rochester, NY, USA

    Henry E. Kyburg Jr.

Authors
  1. Henry E. Kyburg Jr.
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Editor information

Grigoris Antoniou Aditya K. Ghose Mirosław Truszczyński

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© 1998 Springer-Verlag Berlin Heidelberg

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Kyburg, H.E. (1998). Approximate validity. In: Antoniou, G., Ghose, A.K., Truszczyński, M. (eds) Learning and Reasoning with Complex Representations. PRICAI 1996. Lecture Notes in Computer Science, vol 1359. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-64413-X_28

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  • DOI: https://doi.org/10.1007/3-540-64413-X_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64413-2

  • Online ISBN: 978-3-540-69780-0

  • eBook Packages: Springer Book Archive

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