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A framework for assigning probabilities in knowledge-based systems

  • Section II Approaches To Uncertainty C) Probability Theory
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 286))

Abstract

This paper discusses a framework for assigning probabilities to rules in an expert system to deal with uncertainty knowledge processing. The objective is to enable a system to respond to environmental or uncontrollable factors in a strategic manner. We define guards for representing probabilities and then discuss operators and axioms, as part of a problem solver, for guiding probability assignments. We then demonstrate the capabilities of this problem solver by applying to an example taken from game theory.

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B. Bouchon R. R. Yager

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© 1987 Springer-Verlag Berlin Heidelberg

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Shen, S. (1987). A framework for assigning probabilities in knowledge-based systems. In: Bouchon, B., Yager, R.R. (eds) Uncertainty in Knowledge-Based Systems. IPMU 1986. Lecture Notes in Computer Science, vol 286. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-18579-8_18

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  • DOI: https://doi.org/10.1007/3-540-18579-8_18

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-18579-6

  • Online ISBN: 978-3-540-48020-4

  • eBook Packages: Springer Book Archive

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