presentation - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage Access content directly

The ADRIA team contributes to the development of new approaches to knowledge representation, reasoning and decision in Artificial intelligence.


Formal frameworks are proposed and studied by ADRIA for reasoning, decision, argumentation and learning.

The addressed problems rely on basic formal tools like: possibility and imprecise probability theories for the treatment of epistemic uncertainty; logical or graphical models for the representation of preferences (VCSP, CP-Nets, GAI-Nets, …); non-monotonic, weighted, or fuzzy logics intended to bypass the inadequacy of classical logical inference at capturing specific features of human reasoning.

Some applications

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