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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