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

IPMU 1994: Advances in Intelligent Computing — IPMU '94 pp 159–167Cite as

Evidence propagation on influence diagrams and value of evidence

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 945))

Abstract

In this paper, we introduce evidence propagation operations on influence diagrams and a concept of value of evidence, which measures the value of experimentation. Evidence propagation operations are critical for the computation of the value of evidence, general update and inference operations in normative expert systems which are based on the influence diagram (Bayesian Network) paradigm. The value of evidence allows us to compute directly a value of perfect information and a value of control which are used in decision analysis (the science of decision making under uncertainty).

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References

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Author information

Authors and Affiliations

  1. AT&T Bell Laboratories, 600 Mountain Avenue, 07974, Murray Hill, New Jersey, USA

    Kazuo J. Ezawa

Authors
  1. Kazuo J. Ezawa
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Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1995 Springer-Verlag Berlin Heidelberg

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Ezawa, K.J. (1995). Evidence propagation on influence diagrams and value of evidence. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Advances in Intelligent Computing — IPMU '94. IPMU 1994. Lecture Notes in Computer Science, vol 945. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035947

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  • DOI: https://doi.org/10.1007/BFb0035947

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60116-6

  • Online ISBN: 978-3-540-49443-0

  • eBook Packages: Springer Book Archive

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