Abstract. Simulating and controlling physiological phenomena are complex tasks to tackle. This is due to the fact that physiological processes are usually described by a set of partial models representing specific aspects of the phenomena and their adoption does not allow the achievement of an effective simulation/control system. A current open issue is the development of techniques able to comprehensively describe a phenomenon exploiting partial models. Simulation and control heavily rely on accurate modelling of physiological systems. In addition, since a large number of partial models of a single physiological phenomenon have been proposed over the years, the evaluation of their effectiveness and of their combinations is a fundamental task. In this paper we propose a multiagent paradigm, called anthropic agency, as a flexible tool to support and evaluate the combination of partial models embedded in agents. We present an agent negotiation paradigm, that improves the one we employed ...