Modelling Dynamic Organization of Biology-Inspired Multi-agent Systems with Communicating X-Machines and Population P Systems

摘要

Dynamic organization of multi-agent systems can be inspired by the way biological systems adapt to the evolution of their components. In this paper, we investigate how multi-agent systems can be formally modelled as well as how their configurations can be altered, thus affecting the communication between agents. We use two different formal methods, communicating X-machines and population P systems with active membranes, in order to model the case of flocking agents. Each method possesses different appealing characteristics which are examined through the modelling process.