Didier Dubois — accepted AI-conference papers

2026

A Survey on Quantitative Possibility Theory in Artificial Intelligence. A Convenient Uncertainty and Preference Model

Henri Prade, Sébastien Destercke, Didier Dubois

IJCAI 2026

Quantitative (or numerical) possibility theory offers a simple but yet very expressive setting for handling higher-order uncertainty and in particular imprecise probabilities. The paper surveys the basic ideas and notions underlying numerical possibility theory, its relation to the other uncertainty

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2025

40 Years of Research in Possibilistic Logic – a Survey

Didier Dubois, Henri Prade

IJCAI 2025

Possibilistic logic is forty years old. Possibilistic logic is a logic that handles classical logic formulas associated with weights taking values in a linearly ordered set or more generally in a lattice. Over the decades, possibilistic logic has undergone numerous developments at both theoretical a

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