================================================================ 7th International Conference on Belief Functions (BELIEF 2022)
Call For Papers Dates: October 26th-28th, 2021 Location: Paris, France * April 17th, 2022: Paper submission deadline * May 29th 2022: Author notification * July 3rd 2022: Camera-ready copy due ================================================================ 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 biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/ <https://www.bfasociety.org/>) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. The first edition of this conference series was held in Brest, France, in 2010, the second edition in Compiègne, France, in 2012, the third edition in Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in 2016, the fifth edition in Compiègne, France, in 2018, and the sixth edition in Shanghai, China, in 2021. The Seventh International Conference on Belief Functions (BELIEF 2022) will be held in Paris, France, on October 26th-28th, 2022. In order to favor cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, learning data fusion rules, links with symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belief functions and other AI methods or uncertainty theories, are welcome. =========== Proceedings =========== Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. Formal confirmation for the publication of this year's proceedings will be announced soon ================== IJAR Special issue ================== Authors of selected papers from the BELIEF 2022 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning. ======================================= BELIEF 2022 Program Committee co-chairs ======================================= Sylvie Le Hégarat-Mascle (sylvie.le-hega...@universite-paris-saclay.fr <mailto:sylvie.le-hega...@universite-paris-saclay.fr>), Isabelle Bloch (isabelle.bl...@sorbonne-universite.fr <mailto:isabelle.bl...@sorbonne-universite.fr>). The organizers would be grateful if you could inform potentially interested participants of this conference. ---------- Prof. Thierry Denoeux Université de technologie de Compiègne Institut universitaire de France Rue Roger Couttolenc, CS 60319 60203 Compiègne cedex, France https://www.hds.utc.fr/~tdenoeux
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