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Membrane Computing has recently proved to be a suitable framework for addressing the modelling of dynamical biological systems in general, and ecosystems in particular. Due to the inherent randomness and uncertainty in biological systems, when designing a model the relevant tasks to be addressed are the validation and virtual experimentation processes, rather than the formal verification. It is therefore crucial to rely on software implementations of efficient simulation algorithms. This paper presents a simple (but realistic enough) ecosystem where a carnivore and several herbivorous species interact. The model of this ecosystem has been used to compare experimentally the performance of two different simulation algorithms. [ABSTRACT FROM AUTHOR]

The hand-made graphical representation of the configuration of a P system becomes a hard task when the number of membranes and objects increases. In this paper we present a new software tool, called JPLANT, for computing and representing the evolution of a P system model with membrane creation. We also present some experiments performed with JPLANT and point out new lines for the research in computer graphics with membrane systems. [ABSTRACT FROM AUTHOR]

An introduction to the journal is presented which discusses articles on topics including the potential of spiking neural P systems to simulate the behaviour of deterministic finite automata and state transducers, the computational complexity of P systems, and the efficiency of combining the dynamic membrane structure of P systems with the particle swarm optimization.