Dynamics of critical Kauffman networks under asynchronous stochastic update.
We show that the mean number of attractors in a critical Boolean network under asynchronous stochastic update grows like a power law and that the mean size of the attractors increases as a stretched exponential with the system size. This is in strong contrast to the synchronous case, where the number of attractors grows faster than any power law.
Greil
Florian
F
Institut für Festkörperphysik, Technische Universität Darmstadt, Germany.
Drossel
Barbara
B
D003198:Computer Simulation; D008954:Models, Biological; D008962:Models, Theoretical; D013269:Stochastic Processes