Uncertainty in Artificial Intelligence
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Implementing Probabilistic Reasoning
Matthew Ginsberg
Abstract:
General problems in analyzing information in a probabilistic database are considered. The practical difficulties (and occasional advantages) of storing uncertain data, of using it conventional forward- or backward-chaining inference engines, and of working with a probabilistic version of resolution are discussed. The background for this paper is the incorporation of uncertain reasoning facilities in MRS, a general-purpose expert system building tool.
Keywords: Probabilistic Reasoning
Pages: 331-338
PS Link:
PDF Link: /papers/85/p331-ginsberg.pdf
BibTex:
@INPROCEEDINGS{Ginsberg85,
AUTHOR = "Matthew Ginsberg ",
TITLE = "Implementing Probabilistic Reasoning",
BOOKTITLE = "Uncertainty in Artificial Intelligence Annual Conference on Uncertainty in Artificial Intelligence (UAI-85)",
PUBLISHER = "Elsevier Science",
ADDRESS = "Amsterdam, NL",
YEAR = "1985",
PAGES = "331--338"
}


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