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Uncertainty in a numeric concept discovery system

  • Knowledge Acquisition And Machine Learning
  • Conference paper
  • First Online:
Uncertainty and Intelligent Systems (IPMU 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 313))

  • 133 Accesses

Abstract

This paper deals with the problem of reasoning about conceptualizations (sets of relevant parameters) of physical processes. It discusses the problems faced by the COPER discovery system [Kokar, 1986a, 1986b]. COPER conjectures parameters characterizing physical processes and the functional relationships among them. It must handle two kinds of uncertainty — about relevance of parameters, and noise. The paper shows that the straightforward probability/statistics approach is only partially adequate for this problem and indicates some of the possible ways to solve the discussed decision problem.

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References

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Information Systems, Northeastern University, 360 Huntington Avenue, 02115, Boston, MA

    Mieczyslaw M. Kokar, David L. Rumpf & Bernard E. Sawaf

Authors
  1. Mieczyslaw M. Kokar
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  2. David L. Rumpf
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  3. Bernard E. Sawaf
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Editor information

B. Bouchon L. Saitta R. R. Yager

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© 1988 Springer-Verlag Berlin Heidelberg

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Kokar, M.M., Rumpf, D.L., Sawaf, B.E. (1988). Uncertainty in a numeric concept discovery system. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_71

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  • DOI: https://doi.org/10.1007/3-540-19402-9_71

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19402-6

  • Online ISBN: 978-3-540-39255-2

  • eBook Packages: Springer Book Archive

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