Comparative uncertainty, belief functions and accepted beliefs

  • Authors:

  • Didier Dubois;Hélène Fargie;Henri Prade

  • Affiliations:

  • Institut de Recherche en Informatique de Toulouse, Université Paul Sabatie, Toulouse Cedex, France;Institut de Recherche en Informatique de Toulouse, Université Paul Sabatie, Toulouse Cedex, France;Institut de Recherche en Informatique de Toulouse, Université Paul Sabatie, Toulouse Cedex, France

  • Venue:
  • UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
  • Year:
  • 1998

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Abstract

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.