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In this paper are presented two models for an adaptive multi-agent system for dynamic repartition of the patients within a sanatoria network. The agents use wasp task allocation behaviour, combined with a model of wasp dominance hierarchy formation. An adaptive method allows patients to enter in the system for the first time. The rules for the update of response thresholds assure that an optimal repartition from the point of view of type and gravity of the diseases of a patient is made. Our approach depends on many system's parameters, which define the repartition policies.