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When nonmonotonicity comes from distances

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KI-94: Advances in Artificial Intelligence (KI 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 861))

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Abstract

We propose a methodology for defining nonmonotonic inference relations, involving distances (in a non-topological meaning) between ”labels”, each label being associated with a logical theory. Our framework is motivated by applications to spatial reasoning (reasoning by proximity) and taxonomic reasoning, though it also applies to temporal reasoning (degradation of persistence). We propose several ways of defining nonmonotonic inference relations from distances.

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Bernhard Nebel Leonie Dreschler-Fischer

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© 1994 Springer-Verlag Berlin Heidelberg

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Asher, N., Lang, J. (1994). When nonmonotonicity comes from distances. In: Nebel, B., Dreschler-Fischer, L. (eds) KI-94: Advances in Artificial Intelligence. KI 1994. Lecture Notes in Computer Science, vol 861. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58467-6_27

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  • DOI: https://doi.org/10.1007/3-540-58467-6_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58467-4

  • Online ISBN: 978-3-540-48979-5

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