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A model of inductive reasoning

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Knowledge Representation and Reasoning Under Uncertainty (Logic at Work 1992)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 808))

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Abstract

This paper presents a formal characterization of the process of inductive hypothesis formation. This is achieved by formulating minimal properties for inductive consequence relations. These properties are justified by the fact that they are sufficient to allow identification in the limit. By means of stronger sets of properties, we also define both standard and non-standard forms of inductive reasoning, and give an application of the latter.

Part of this work has been carried out under ESPRIT III Basic Research Action 6020: Inductive Logic Programming.

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Michael Masuch László Pólos

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© 1994 Springer-Verlag Berlin Heidelberg

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Flach, P.A. (1994). A model of inductive reasoning. In: Masuch, M., Pólos, L. (eds) Knowledge Representation and Reasoning Under Uncertainty. Logic at Work 1992. Lecture Notes in Computer Science, vol 808. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58095-6_4

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  • DOI: https://doi.org/10.1007/3-540-58095-6_4

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58095-9

  • Online ISBN: 978-3-540-48451-6

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