Correction: date should be 2022

FYI,  as CFP says, “Submissions of papers …

at the cross-road of belief functions and other AI

methods or uncertainty theories, are welcome.

-----Original Message-----

From: bfas@bfasociety.org

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7th International Conference on Belief Functions (BELIEF 2022)

1st Call For Participation

Dates: October 26th-28th, 2022

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 Compi�gne, France, in 2012, the third edition in

Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in

2016, the fifth edition in Compi�gne, 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 H�garat-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.