Uncertainty in Artificial Intelligence
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Some Problems for Convex Bayesians
Henry Kyburg Jr., Michael Pittarelli
Abstract:
We discuss problems for convex Bayesian decision making and uncertainty representation. These include the inability to accommodate various natural and useful constraints and the possibility of an analog of the classical Dutch Book being made against an agent behaving in accordance with convex Bayesian prescriptions. A more general set-based Bayesianism may be as tractable and would avoid the difficulties we raise.
Keywords:
Pages: 149-154
PS Link:
PDF Link: /papers/92/p149-kyburg.pdf
BibTex:
@INPROCEEDINGS{Kyburg Jr.92,
AUTHOR = "Henry Kyburg Jr. and Michael Pittarelli",
TITLE = "Some Problems for Convex Bayesians",
BOOKTITLE = "Proceedings of the Eighth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-92)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Mateo, CA",
YEAR = "1992",
PAGES = "149--154"
}


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