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The SMAC group is interested in modelling and solving complex problems using multi-agent technology. Complex systems are systems in which a great number of entities are interacting in a local manner and their evolution can only be predicted by experiment or simulation. In other words despite a perfect knowledge of the basic components of the system, no program able to predict its behaviour and shorter than the one describing the system in an exhaustive way is known. Controling the behaviour of such systems which contain non-linearities coming from feedback loops, as well as a coupling between levels (the system macro-level is produced by entities of the micro-level but it also constrains this micro-level) is the aim of our research works (illustrated by several PhD thesis, projects and applications)..

These works deal with six topics that are strongly connected by concepts such as adaptation, self-organisation and emergence.