Research Group on Natural Computing

This paper presents a general framework for modelling with membrane systems that is based on a computational paradigm where rules have associated a finite set of attributes and a corresponding function. Attributes and functions are meant to provide those extra features that allow to define different strategies to run a P system. Such a strategy relying on a bounded parallelism is presented using an operational approach and applying it for a case study presenting the basic model of quorum sensing for Vibrio fischeri bacteria.