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This project explores the potential of Generative Autonomous Agents and Multiagent Systems (GAAMAS) for social simulation. It aims to better understand how these artificial entities, powered by Large Language Models (LLMs), interact, make decisions, adapt to others' behaviour, and simulate human reasoning, particularly in strategic contexts inspired by Game Theory. This project will contribute to assessing the current capabilities and limitations of GAAMAS and to proposing concrete avenues for improving their coherence and realism in social simulations.
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Yacine Belal / Inferring-Communities-of-Interest-in-Collaborative-Learning-based-Recommender-Systems
Community Detection Attack against Collaborative Learning-based Recommender Systems
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Privacy in Decentralized Learning of Recommender Systems against Community Detection Attack
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Python Generative Autonomous Agents and Multi-Agent Systems aims to evaluate the social behaviors of LLM-based agents.
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Outil de vulgarisation scientifique pour la topologie et les surfaces. Utilisé pour des ateliers Maths en Jeans.
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Luciole Deck-building
Entre deck building, jeu de cartes à collectionner et uno, Lu'Deck vise à permettre de produire des énoncés grammaticalement corrects des 6 ans.
Il propose un code couleur cohérent avec les propositions de la grammaire en couleurs, mais peut être adapté pour se conformer à d'autres représentations (ex: retz).
Lu'Deck a été créé dans le cadre du projet Luciole.
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