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Implementation of an inference detection system for inference attacks involving sensor data.

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.

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

“Prisms” est un jeu de devinette asynchrone issu des travaux sur Game of Words réalisé dans le cadre du projet Lex:gaMe.

Create and manipulate RO-Crate and Provenance Run RO-Crate metadata for workflows. Generate RO-Crate metadata files for CWL workflows.

Repository contaning the original code of IMPACT algorithm, an interpretable model for ordinal predictions with multi-class outputs"