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Kernel knowledge versus belt knowledge in default reasoning: A logical approach

  • Expert Systems, Artificial Intelligence
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Advances in Computing and Information — ICCI '91 (ICCI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 497))

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Abstract

In this paper, we formalize in logic the dichotomy between kernel (or hard) knowledge versus belt (or soft) knowledge introduced by Popper and Lakatos in the philosophical logic of scientific discovery. The logic we obtain, default ionic logic, generalizes Reiter's default logic to a continuous and monotonic reasoning system. Default ionic logic gives a solution so some well-known non-monotonic reasoning problems: Lottery paradox, weak implication, disjunctive information, default transformation, normal versus non-normal defaults, the Yale shooting problem and several of its variants, Haugh's Assassin problem, Kautz's Vanishing car problem, and Haugh's Robot problem.

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Frank Dehne Frantisek Fiala Waldemar W. Koczkodaj

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© 1991 Springer-Verlag Berlin Heidelberg

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Nati Abdallah, M.A. (1991). Kernel knowledge versus belt knowledge in default reasoning: A logical approach. In: Dehne, F., Fiala, F., Koczkodaj, W.W. (eds) Advances in Computing and Information — ICCI '91. ICCI 1991. Lecture Notes in Computer Science, vol 497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-54029-6_217

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  • DOI: https://doi.org/10.1007/3-540-54029-6_217

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54029-8

  • Online ISBN: 978-3-540-47359-6

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