The Artificial Intelligence department investigates the automation of reasoning and decision making processes, based on knowledge coming from texts and data as well as from the analysis of natural language.
For more information, consult the Artificial Intelligence department presentation on the IRIT website.
Latest full text publications
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Tom Portoleau, Christian Artigues, Romain Guillaume. Robust decision trees for the multi-mode project scheduling problem with a resource investment objective and uncertain activity duration. European Journal of Operational Research, 2024, 312 (2), pp.525-540. ⟨10.1016/j.ejor.2023.07.035⟩. ⟨hal-03502505⟩
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Martin Cooper, Leila Amgoud. Abductive Explanations of Classifiers under Constraints: Complexity and Properties. 26th European Conference on Artificial Intelligence (ECAI 2023), European Association for Artificial Intelligence (EurAI); Polish Artificial Intelligence Society (PSSI), Sep 2023, Krakow, Poland. pp.469 - 476, ⟨10.3233/FAIA230305⟩. ⟨hal-04210428v2⟩
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Stéphane Airiau, Hugo Gilbert, Umberto Grandi, Jérôme Lang, Anaëlle Wilczynski. Fair Rent Division on a Budget Revisited. 26th European Conference on Artificial Intelligence (ECAI 2023), European Association for Artificial Intelligence (EurAI); Polish Artificial Intelligence Society (PSSI), Sep 2023, Kraków, Poland. ⟨10.3233/faia230253⟩. ⟨hal-04261690⟩
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Léo Saulières, Martin C Cooper, Florence Dupin de Saint-Cyr. Predicate-based explanation of a Reinforcement Learning agent via action importance evaluation. 4th workshop on Advances in Interpretable Machine Learning and Artificial Intelligence (AIMLAI 2023) @ ECML/PKDD conference, Sep 2023, Turin, Italy. à paraître. ⟨hal-04170188⟩