Uncertainty in Artificial Intelligence
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Normalization and the Representation of Nonmonotonic Knowledge in the Theory of Evidence
Ronald Yager
Abstract:
We discuss the Dempster-Shafer theory of evidence. We introduce a concept of monotonicity which is related to the diminution of the range between belief and plausibility. We show that the accumulation of knowledge in this framework exhibits a nonmonotonic property. We show how the belief structure can be used to represent typical or commonsense knowledge.
Keywords:
Pages: 394-403
PS Link:
PDF Link: /papers/89/p394-yager.pdf
BibTex:
@INPROCEEDINGS{Yager89,
AUTHOR = "Ronald Yager ",
TITLE = "Normalization and the Representation of Nonmonotonic Knowledge in the Theory of Evidence",
BOOKTITLE = "Proceedings of the Fifth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-89)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1989",
PAGES = "394--403"
}


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