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FLAIRS
2003

Belief Revision and Information Fusion in a Probabilistic Environment

11 years 3 months ago
Belief Revision and Information Fusion in a Probabilistic Environment
This paper presents new methods for probabilistic belief revision and information fusion. By making use of the principles of optimum entropy (ME-principles), we define a generalized revision operator which aims at simulating the human learning of lessons, and we introduce a fusion operator which handles probabilistic information faithfully. In general, this fusion operator computes kind of mean probabilistic values from pieces of information provided by different sources.
Gabriele Kern-Isberner, Wilhelm Rödder
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where FLAIRS
Authors Gabriele Kern-Isberner, Wilhelm Rödder
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