Assignment or matching problems have been addressed by various multi-agent methods, focused on enhancing privacy and distribution. Nevertheless, they little rely on the organisational structure provided by Multi-Agent Systems (MAS). We rather start from the intrinsic ability of multilevel MAS to represent intermediate points of view between the individual and the collective levels, to express matching or assignment problems in a homogeneous formalism. This model allows to define relevant metrics to assess the satisfaction of agent groups and allow them to build solutions that improve the overall well-being without disclosing all their individual information.
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