Uncertainty in Artificial Intelligence
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Anytime Decision Making with Imprecise Probabilities
Michael Pittarelli
Abstract:
This paper examines methods of decision making that are able to accommodate limitations on both the form in which uncertainty pertaining to a decision problem can be realistically represented and the amount of computing time available before a decision must be made. The methods are anytime algorithms in the sense of Boddy and Dean 1991. Techniques are presented for use with Frisch and Haddawy's [1992] anytime deduction system, with an anytime adaptation of Nilsson's [1986] probabilistic logic, and with a probabilistic database model.
Keywords:
Pages: 470-477
PS Link:
PDF Link: /papers/94/p470-pittarelli.pdf
BibTex:
@INPROCEEDINGS{Pittarelli94,
AUTHOR = "Michael Pittarelli ",
TITLE = "Anytime Decision Making with Imprecise Probabilities",
BOOKTITLE = "Proceedings of the Tenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-94)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1994",
PAGES = "470--477"
}


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