Modelling dynamic organization of biology-inspired multi-agent systems with communicating x-machines and population p systems

  • Authors:
  • Ioanna Stamatopoulou;Marian Gheorghe;Petros Kefalas

  • Affiliations:
  • South-East European Research Center, Thessaloniki, Greece;Department of Computer Science, University of Sheffield, UK;Department of Computer Science, CITY College, Thessaloniki, Greece

  • Venue:
  • WMC'04 Proceedings of the 5th international conference on Membrane Computing
  • Year:
  • 2004

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Abstract

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.