Dynamics of critical Kauffman networks under asynchronous stochastic update

被引：67

作者：

Greil, F ^{[1
]}

Drossel, B ^{[1
]}

机构：

[1] Tech Univ Darmstadt, Inst Festkorperphys, D-64289 Darmstadt, Germany

来源：

PHYSICAL REVIEW LETTERS | 2005年 / 95卷 / 04期

关键词：

D O I：

10.1103/PhysRevLett.95.048701

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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.

引用

页数：4

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