I. Stamatopoulou, M. Gheorghe, P.Kefalas

Modelling of Dynamic Organization of Biology-Inspired Multi-Agent Systems with Communicating X-machines and P Systems

Abstract: Dynamic organisation of multi-agent systems can be inspired by the way biological systems adapt to the evolution of its 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.

Available: Copy on request from the authors.

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