Event-Driven Metamorphoses of P Systems
Membrane Computing
First Steps Towards a Wet Implementation for τ -DPP
Membrane Computing
Psim: a computational platform for metabolic P systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
Membrane computing as a modeling framework: cellular systems case studies
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Tau leaping stochastic simulation method in p systems
WMC'06 Proceedings of the 7th international conference on Membrane Computing
A novel variant of p systems for the modelling and simulation of biochemical systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
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We present a simulation tool to predict the behavior of single regions in dynamical probabilistic P systems with reduced size, that is, membrane systems with probability values associated to rules that dynamically change during the evolution, where the number of objects whose evolution is analyzed is not greater than 2. The tool is based on the construction of a grid over the phase space of a region, which is then used to evaluate the mean displacement of each multi-set in the grid and to build the vector field of that region. As a consequence, we can predict the local evolutions (i.e., the behavior of the system inside each membrane) for all possible choices of initial multisets. We show some applications of this method to investigate the dynamics of two simple abstract toy-systems and of the Lotka-Volterra model.