1st Call For Participation

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

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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 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/) 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.

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Proceedings

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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

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IJAR Special issue

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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.

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BELIEF 2022 Program Committee co-chairs

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Sylvie Le Hégarat-Mascle (sylvie.le-hegarat@universite-paris-saclay.fr),
Isabelle Bloch (isabelle.bloch@sorbonne-universite.fr).

The organizers would be grateful if you could inform potentially
interested participants of this conference.