title: Dynamics of critical Kauffman networks under asynchronous stochastic update.
abstract: 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.
authors.affiliation: Institut für Festkörperphysik, Technische Universität Darmstadt, Germany.
authors.forename: Florian
authors.initials: F
authors.lastname: Greil
authors.forename: Barbara
authors.initials: B
authors.lastname: Drossel
mesh_terms: D003198:Computer Simulation; D008954:Models, Biological; D008962:Models, Theoretical; D013269:Stochastic Processes