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This project contains the PhD work from Samuel Carensac on physics-based motion control.

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.

Privacy in Decentralized Learning of Recommender Systems against Community Detection Attack

Python Generative Autonomous Agents and Multi-Agent Systems aims to evaluate the social behaviors of LLM-based agents.

Outil de vulgarisation scientifique pour la topologie et les surfaces. Utilisé pour des ateliers Maths en Jeans.

Community Detection Attack against Collaborative Learning-based Recommender Systems

A small python script to extract annotations from vivlio e-reader

Template to easily setup and managed mkdocs documentation in folder to have homogenous documentation. This repo hosts mkdocs configuration for PAGoDA projects documentation.

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.