Uncertainty in Artificial Intelligence
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Comparative Uncertainty, Belief Functions and Accepted Beliefs
Didier Dubois, Helene Fargier, Henri Prade
This paper relates comparative belief structures and a general view of belief management in the setting of deductively closed logical representations of accepted beliefs. We show that the range of compatibility between the classical deductive closure and uncertain reasoning covers precisely the nonmonotonic 'preferential' inference system of Kraus, Lehmann and Magidor and nothing else. In terms of uncertain reasoning any possibility or necessity measure gives birth to a structure of accepted beliefs. The classes of probability functions and of Shafer's belief functions which yield belief sets prove to be very special ones.
Keywords: Comparative belief, possibility theory, belief functions.
Pages: 113-120
PS Link:
PDF Link: /papers/98/p113-dubois.pdf
AUTHOR = "Didier Dubois and Helene Fargier and Henri Prade",
TITLE = "Comparative Uncertainty, Belief Functions and Accepted Beliefs",
BOOKTITLE = "Proceedings of the Fourteenth Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-98)",
PUBLISHER = "Morgan Kaufmann",
ADDRESS = "San Francisco, CA",
YEAR = "1998",
PAGES = "113--120"

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