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CALL FOR PARTICIPATION
First Spring School on Belief Functions Theory and Applications
Autrans, France, April 4-8, 2011
http://www.gipsa-lab.inpg.fr/summerschool/bfta
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The Belief Function Theory represents a new approach devised to model
and manage imprecise information in Artificial and Computational
Intelligence. 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 modeling
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. The field
of application of this theory is very large.
The aim of this first spring school is to promote this theory and to
introduce interested students and researchers to the basics of Belief
Functions, both theoretical and applied. The school is organized into
several lectures given by international experts. They will bring both
theoretical and practical backgrounds, in a friendly environment
favoring interaction between participants. An important part of the time
will be devoted to the resolution of proposed exercises concerning
applied problems. One objective of the school is to enable non
specialists as well as potential users to become acquainted with the
principles and fundamentals of the theory.
SPEAKERS
Alain Appriou
Eloi Bosse
Thierry Denoeux
Didier Dubois
Arnaud Martin
Emmanuel Ramasso
Prakash P. Shenoy
DIRECTOR OF THE SCHOOL
Michele Rombaut
http://www.bfasociety.org/
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