(Our apologies for any duplicate messages)

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The 9th International Conference on Belief Functions (BELIEF 2026)

https://www.bfasociety.org/Belief2026

Dates: October 19-21, 2026

Location: Nanjing, China

* May 31, 2026: Paper submission deadline (extended)

* June 15, 2026: Author notification

* June 30, 2026: Camera-ready copy due

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The Theory of belief functions, also referred to as Evidence theory or

Dempster-Shafer theory is a well-established mathematical framework for

reasoning and decision-making with uncertainty, with applications to

machine learning, statistical inference, information fusion, knowledge

representation, risk analysis, etc. It is an extension of probability

theory and it has well understood connections with related frameworks

such as random sets and imprecise probabilities. Recently, generalised

evidence theory, based on random fuzzy sets, has been proposed as a

unifying framework encompassing both Dempster-Shafer and possibility

theories.

The biennial BELIEF conferences (sponsored by the Belief Functions and

Applications Society) are dedicated to the confrontation of ideas, the

reporting of recent achievements and the presentation of the wide range

of applications of this theory. Previous editions of this conference

series were held in Brest, France (2010); Compiègne, France (2012);

Oxford, UK (2014); Prague, Czech Republic (2016); Compiègne, France

(2018); Shanghai, China (2021); Paris, France (2022), and Belfast, UK

(2024).

To support cross-fertilization among researchers working in different

subfields of AI and related disciplines, tutorials and special sessions

will be proposed, with emphasis on the links between machine learning,

statistical inference and uncertain reasoning, including topics such as

quantification of prediction uncertainty, fusion rules for ensemble

learning, belief propagation in deep neural networks, links with

explainable and 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, along with

relevant applications, are welcome.

Proceedings

BELIEF 2026 proceedings will be published by Springer-Verlag in 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.

IJAR Special issue

Authors of selected papers from the BELIEF 2026 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 2026 Conference co-chairs

Prof. Zhigang Su, Southeast University, China

Prof. Thierry Denoeux, Université de Technologie de Compiègne, France

More information: https://www.bfasociety.org/Belief2026