Uncertainty in Artificial Intelligence
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Credibility Discounting in the Theory of Approximate Reasoning
Ronald Yager
We are concerned with the problem of introducing credibility type information into reasoning systems. The concept of credibility allows us to discount information provided by agents. An important characteristic of this kind of procedure is that a complete lack of credibility rather than resulting in the negation of the information provided results in the nullification of the information provided. We suggest a representational scheme for credibility qualification in the theory of approximate reasoning. We discuss the concept of relative credibility. By this idea we mean to indicate situations in which the credibility of a piece of evidence is determined by its compatibility with higher priority evidence. This situation leads to structures very much in the spirit of nonmonotonic reasoning.
Pages: 301-306
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PDF Link: /papers/90/p301-yager.pdf
AUTHOR = "Ronald Yager ",
TITLE = "Credibility Discounting in the Theory of Approximate Reasoning",
BOOKTITLE = "Proceedings of the Sixth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-90)",
ADDRESS = "Corvallis, Oregon",
YEAR = "1990",
PAGES = "301--306"

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