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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 1992: IPMU '92—Advanced Methods in Artificial Intelligence pp 219–228Cite as

A new perspective in the inductive acquisition of knowledge from examples

  • Acquiring Knowledge
  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 682))

Abstract

In this paper we describe a new perspective in the Inductive Acquisition of Knowledge from Examples, based on three fundamental concepts: the Object Attribute Table (OAT), the Base of Attributes and Optimality Criteria and on a two step solution. The OAT constitutes an extensional description about some concepts to be intensionally described. To transform the knowledge from the OAT into an intensional form, the two step solution must be taken:

  1. i.

    To obtain an optimal set of attributes or qualities to describe the concepts.

  2. ii.

    To obtain an optimal intensional description based on the attributes obtained in the former step.

Each step is based on a optimality criterion and the two optimality criteria of the two steps are completely independent. The subset of attributes obtained in the first step is called a base of attributes.

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Bibliography

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Author information

Authors and Affiliations

  1. Departament de Ciències Matemàtiques i Informàtica, University of the Balearic Islands, Crra. de Valldemosa, Km. 7.5, 07071, Palma de Mallorca, Spain

    Gabriel Fiol, José Miró-Nicolau & José Miró-Julià

Authors
  1. Gabriel Fiol
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  2. José Miró-Nicolau
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  3. José Miró-Julià
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Editor information

Bernadette Bouchon-Meunier Llorenç Valverde Ronald R. Yager

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© 1993 Springer-Verlag

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Fiol, G., Miró-Nicolau, J., Miró-Julià, J. (1993). A new perspective in the inductive acquisition of knowledge from examples. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_59

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  • DOI: https://doi.org/10.1007/3-540-56735-6_59

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56735-6

  • Online ISBN: 978-3-540-47643-6

  • eBook Packages: Springer Book Archive

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