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Inconsistency and Preservation

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PRICAI 2000 Topics in Artificial Intelligence (PRICAI 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1886))

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Abstract

One of the main goals of paraconsistent logics is to develop a theory of reasoning that can tolerate inconsistencies. In this paper we present a novel way to analyze and compare several paraconsistent reasoning mechanisms in terms of their preservational properties. The main idea is that although an inconsistent set of data cannot all be true, such a set may nevertheless carry useful properties that are worthy of preservation. One of these properties provides a theoretically interesting way to measure the relative incoherence of a data set; another one provides a way to measure the quantity of empirical information in an inconsistent set.

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Author information

Authors and Affiliations

  1. Automated Reasoning Group Computer Science Laboratory Research School of Information Sciences and Engineering, Australian National University, Australia

    Paul Wong

Authors
  1. Paul Wong
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Editor information

Editors and Affiliations

  1. Institute of Scientific and Industrial Research, Osaka University, 8-1 Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Riichiro Mizoguchi

  2. Computer Sciences Laboratory, Research School of Information Sciences and Engineering, Australian National University, Canberra, ACT, 0200, Australia

    John Slaney

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© 2000 Springer-Verlag Berlin Heidelberg

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Wong, P. (2000). Inconsistency and Preservation. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_9

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  • DOI: https://doi.org/10.1007/3-540-44533-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67925-7

  • Online ISBN: 978-3-540-44533-3

  • eBook Packages: Springer Book Archive

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