Anytime Decision Making with Imprecise Probabilities
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.
Cite
Text
Pittarelli. "Anytime Decision Making with Imprecise Probabilities." Conference on Uncertainty in Artificial Intelligence, 1994. doi:10.1016/B978-1-55860-332-5.50064-XMarkdown
[Pittarelli. "Anytime Decision Making with Imprecise Probabilities." Conference on Uncertainty in Artificial Intelligence, 1994.](https://mlanthology.org/uai/1994/pittarelli1994uai-anytime/) doi:10.1016/B978-1-55860-332-5.50064-XBibTeX
@inproceedings{pittarelli1994uai-anytime,
title = {{Anytime Decision Making with Imprecise Probabilities}},
author = {Pittarelli, Michael},
booktitle = {Conference on Uncertainty in Artificial Intelligence},
year = {1994},
pages = {470-477},
doi = {10.1016/B978-1-55860-332-5.50064-X},
url = {https://mlanthology.org/uai/1994/pittarelli1994uai-anytime/}
}