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 was dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory.
We received 62 submitted papers. The program committee select 48 papers for presentation and choose to program these presentations on one unique session only. This is the reason why there is some papers presented in oral sessions and some others in poster session without difference of quality between these papers.
Download the program.
Download the poster.
The website of the workshop.
Extended versions of selected papers will be considered for publication in a special issue of the International Journal of Approximate Reasoning (Elsevier).