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6th International Symposium on Imprecise Probability: Theories and Applications, Durham, United Kingdom, 2009 Aggregating Imprecise Probabilistic Knowledge
 

Summary: 6th International Symposium on Imprecise Probability: Theories and Applications, Durham, United Kingdom, 2009
Aggregating Imprecise Probabilistic Knowledge
Alessio Benavoli
IDSIA
Lugano, Switzerland
alessio@idsia.ch
Alessandro Antonucci
IDSIA
Lugano, Switzerland
alessandro@idsia.ch
Abstract
The problem of aggregating two or more sources of in-
formation containing knowledge about a same domain is
considered. We propose an aggregation rule for the case
where the available information is modeled by coherent
lower previsions, corresponding to convex sets of prob-
ability mass functions. The consistency between aggre-
gated beliefs and sources of information is discussed. A
closed formula, which specializes our rule to a particular
class of models, is also derived. Finally, an alternative ex-

  

Source: Antonucci, Alessandro - Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA)

 

Collections: Computer Technologies and Information Sciences