Uncertainty theories: a unified view

Didier Dubois (1, 2)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique

The variability of physical phenomena and partial ignorance about them motivated the development of probability theory in the two last centuries. However, the mathematical framework of probability theory, together with the Bayesian credo claiming the inevitability of unique probability measures for representing agents beliefs, have blurred the distinction between variability and ignorance. Modern theories of uncertainty, by putting together probabilistic and set-valued representations of information, provide a better account of the various facets of uncertainty.

Domaines: Informatique [cs]

Didier Dubois. Uncertainty theories: a unified view. 8th International Workshop on Reliable Engineering Computing (REC 2018), Jul 2018, Liverpool, United Kingdom. ⟨hal-03044268⟩