The MAS team focuses on the design of intelligent systems which are characterized by :
- Intelligent agents : the MAS are autonomous, with cognitive abilities ( decision, reasoning, learning) and a reflexive behavior that enables them to act, observe their actions and modify them accordingly.
- Agent interaction : the agents evolve in a shared environment and are open to users or other systems
- System complexity : as a result of the two previous properties, agents are heterogeneous and can scale to very large numbers
The MAS team studies the different questions of artificial intelligence arising in a collective context, which provide new research issues such as: - Multi-agents coordination (distributed planification, coalition generation, negotiation and consensus, collective decision) - Multi-agent learning and adaptation.