Uncertainty in Artificial Intelligence
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Epistemological Relevance and Statistical Knowledge
Henry Kyburg Jr.
Abstract:
For many years, at least since McCarthy and Hayes (1969), writers have lamented, and attempted to compensate for, the alleged fact that we often do not have adequate statistical knowledge for governing the uncertainty of belief, for making uncertain inferences, and the like. It is hardly ever spelled out what "adequate statistical knowledge" would be, if we had it, and how adequate statistical knowledge could be used to control and regulate epistemic uncertainty.
Keywords:
Pages: 237-244
PS Link:
PDF Link: /papers/88/p237-kyburg.pdf
BibTex:
@INPROCEEDINGS{Kyburg Jr.88,
AUTHOR = "Henry Kyburg Jr. ",
TITLE = "Epistemological Relevance and Statistical Knowledge",
BOOKTITLE = "Proceedings of the Fourth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-88)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "1988",
PAGES = "237--244"
}


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