SMILE‘s activities are federated around the paradigm of Multi-Agent Systems (MAS). In various research scenarios, SMILE uses this paradigm to study, model and implement computer systems composed of interacting intelligent and autonomous entities. SMILE’s scientific expertise addresses issues related to the two modeling levels found in MAS: (1) the individual level, with models allowing the modeling and representation of behaviors (decision, learning, preferences, etc.) and (2) the collective level, with models of organizations and interactions allowing the efficient structuring of these systems. Depending on the case studies, the considered individuals can be either artificial agents (e.g. in robotics), or model of human agents (e.g. in preference representation), or both, as in the context of video games (serious or not) where the software components and the user can be understood as interacting agents participating in one and the same system..