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About deductive generalization

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Logics in AI (JELIA 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 633))

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Abstract

In this paper, we compare several forms of deductive generalization from positive and negative examples. We show that there exist cases where the logical conditions under which such paradigms can take place just appear too restrictive and somewhat counter-intuitive. Moreover, some of these conditions, which can be checked in an efficient way, also prove useful when satisfied since they sometimes allow one to prune the space of potential generalizations. Departing from a standard logical framework, we then show how an intuitionistic account of deductive generalization relaxes those conditions to make them more natural.

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D. Pearce G. Wagner

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© 1992 Springer-Verlag Berlin Heidelberg

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Besnard, P., Grégoire, E. (1992). About deductive generalization. In: Pearce, D., Wagner, G. (eds) Logics in AI. JELIA 1992. Lecture Notes in Computer Science, vol 633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0023430

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  • DOI: https://doi.org/10.1007/BFb0023430

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-55887-3

  • Online ISBN: 978-3-540-47304-6

  • eBook Packages: Springer Book Archive

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