Journal of Computer and System Sciences
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Investigating Local Evolutions in Dynamical Probabilistic P Systems
SYNASC '05 Proceedings of the Seventh International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
Applications of Membrane Computing (Natural Computing Series)
Applications of Membrane Computing (Natural Computing Series)
Analysis and simulation of dynamics in probabilistic p systems
DNA'05 Proceedings of the 11th international conference on DNA Computing
Review: Stochastic approaches for modelling in vivo reactions
Computational Biology and Chemistry
Membrane Systems and Their Application to Systems Biology
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
First Steps Towards a Wet Implementation for τ -DPP
Membrane Computing
Stochastic biological modelling in the presence of multiple compartments
Theoretical Computer Science
Stochastic simulation of biological systems with dynamical compartment structure
CMSB'07 Proceedings of the 2007 international conference on Computational methods in systems biology
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
Computing with energy and chemical reactions
Natural Computing: an international journal
BioSimWare: a software for the modeling, simulation and analysis of biological systems
CMC'10 Proceedings of the 11th international conference on Membrane computing
Modelling spatial heterogeneity and macromolecular crowding with membrane systems
CMC'10 Proceedings of the 11th international conference on Membrane computing
Grid computing for sensitivity analysis of stochastic biological models
PaCT'11 Proceedings of the 11th international conference on Parallel computing technologies
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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Stochastic simulations based on the τ leaping method are applicable to well stirred chemical systems reacting within a single fixed volume. In this paper we propose a novel method, based on the τ leaping procedure, for the simulation of complex systems composed by several communicating regions. The new method is here applied to dynamical probabilistic P systems, which are characterized by several features suitable to the purpose of performing stochastic simulations distributed in many regions. Conclusive remarks and ideas for future research are finally presented.