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We investigate the use of an extension of rule-based modelling for cellularsignalling to create a structured space of model variants. This enables theincremental development of rule sets that start from simple mechanisms andwhich, by a gradual increase in agent and rule resolution, evolve into moredetailed descriptions.

Rule-based Modelling and Tunable Resolution