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CALL FOR PARTICIPATION
BFAS Spring School on Belief Functions Theory and Applications
Carthage, Tunisia, May 20-24, 2013
http://www.bfasociety.org/
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The theory of belief functions 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 second BFAS spring school will take place at IHEC in the historical
and magnificent city of Carthage in Tunisia. The aim of this 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.
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SPEAKERS:
- Boutheina Ben Yaghlane
- Thierry Denoeux
- Didier Dubois
- Zied Elouedi
- Sylvie Le Hégarat-Mascle
- Weiru Liu
- Arnaud Martin
- Hung Nguyen
- Rajendra Srivastava
CODIRECTOR OF THE SCHOOL
Boutheina Ben Yaghlane
Khaled Mellouli
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