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International Workshop on Analogical and Inductive Inference

AII 1986: Analogical and Inductive Inference pp 145–163Cite as

Knowledge acquisition by inductive learning from examples

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 265))

Abstract

Before we describe our approach to the problem of learning the action part of IF(pattern) THEN-DO(action)-rules we give a survey to the problem of knowledge acquisition for expert systems. In connection with our work we focus on automatic knowledge acquisition by learning methods.

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Author information

Authors and Affiliations

  1. Department of Artificial Intelligence, Central Institute of Cybernetics and Information Processes, Kurstrasse 33 PF 1298, 1086, Berlin, DDR

    Joachim Selbig

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  1. Joachim Selbig
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Editor information

Klaus P. Jantke

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© 1987 Springer-Verlag Berlin Heidelberg

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Selbig, J. (1987). Knowledge acquisition by inductive learning from examples. In: Jantke, K.P. (eds) Analogical and Inductive Inference. AII 1986. Lecture Notes in Computer Science, vol 265. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18081-8_91

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  • DOI: https://doi.org/10.1007/3-540-18081-8_91

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18081-4

  • Online ISBN: 978-3-540-47739-6

  • eBook Packages: Springer Book Archive

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