MUNRO Yann
Team : LFI
Arrival date : 10/01/2021
- Sorbonne Université - LIP6
Boîte courrier 169
Couloir 26-00, Étage 5, Bureau 516
4 place Jussieu
75252 PARIS CEDEX 05
FRANCE
Tel: +33 1 44 27 87 26, Yann.Munro (at) nulllip6.fr
https://lip6.fr/Yann.Munro
Supervision : Isabelle BLOCH
Co-supervision : LESOT Marie-Jeanne
Abstract argumentation and actual causality for the generation of explanations in the context of human-agent interaction
This thesis deals with explainability of artificial intelligence systems, in a context of interactions with humans. The aim is to propose a representation of these interactions that allows the generation of explanations adapted to the explainee. To this end, we have proposed several transformations of an abstract argumentation system into a structural causal model on the one hand, and into an action language on the other. These two logical formalisms make it possible to determine the actual causes of an event, which is the basic building block for generating explanations. We are also working on extending this to the framework of quantitative bipolar argumentation framework, in particular by proposing a new class of gradual semantics.
2022-2024 Publications
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2024
- Y. Munro, I. Bloch, M. Chetouani, C. Pelachaud, M.‑J. Lesot : “SĂ©mantique agrĂ©gative graduelle pour les systèmes d’argumentation bipolaires pondĂ©rĂ©s”, Actes des 18es JournĂ©es d’Intelligence Artificielle Fondamentale et des 19es JournĂ©es Francophones sur la Planification, la DĂ©cision et l’Apprentissage pour la conduite de systèmes, La Rochelle, France (2024)
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2023
- Y. Munro, C. Sarmiento, I. Bloch, G. Bourgne, M.‑J. Lesot : “Dynamic Argumentation and Action Languages: Towards Explanations”, The Fourth Workshop on Explainable Logic-Based Knowledge Representation (XLoKR 2023), Rhodes, Greece (2023)
- Y. Munro, C. Sarmiento, I. Bloch, G. Bourgne, M.‑J. Lesot : “TemporalitĂ© et causalitĂ© en argumentation abstraite”, Actes JIAF-JFPDA 2023, Strasbourg, France (2023)
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2022
- Y. Munro, I. Bloch, M. Chetouani, M.‑J. Lesot, C. Pelachaud : “De l’équivalence entre les modèles structurels causaux et les systèmes abstraits d’argumentation”, Rencontres des Jeunes Chercheurs en Intelligence Artificielle, Saint-Etienne, France, pp. 123-130, (Association française pour l'intelligence artificielle) (2022)
- Y. Munro, I. Bloch, M. Chetouani, M.‑J. Lesot, C. Pelachaud : “Argumentation and Causal Models in Human-Machine Interaction: A Round Trip”, Proceedings of the International Workshop on Artificial Intelligence and Cognition, Ă–rebro, Sweden (2022)