The multiagent systems team undertakes research in the following topics:

• multi-agent coordination: studying algorithms and protocols allowing several agents to coordinate (distributed planning, coalition formation, negotiation and deliberation, computational social choice, multi-agent learning);
• multi-agent simulation: dedicated to the modelling and simulation of complex human systems, in particular in the aim of designing and evaluating public policies (model calibration, scaling issues, participative simulations);
• agents' architectures and agents' languages: models, structures, and engineering issues related to the deployment of multi-agent systems (agent communication languages, multi-agent platforms);
• creativity and content generation: focused in particular on musical content generation, based on learning or multi-agent methods.