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The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modelling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories. This workshop is dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Documents Your paper will not be published or allowed presentation without a signed copyright form. Please, upload the following copyright fom, and mail or fax the completed form by 1 March 2010. Download the call for participation. Download the call for paper. Download the poster. Publication Extended versions of selected papers will be considered for publication in a special issue of the International Journal of Approximate Reasoning (Elsevier). Importante Deadlines
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