arXiv · cond-mat/9510154
Power-law Distributions in the Kauffman Net
Abstract
Kauffman net is a dynamical system of logical variables receiving two random inputs and each randomly assigned a boolean function. We show that the attractor and transient lengths exhibit scaleless behavior with power-law distributions over up to ten orders of magnitude. Our results provide evidence for the existence of the "edge of chaos" as a distinct phase between the ordered and chaotic regimes analogous to a critical point in statistical mechanics. The power-law distributions are robust to the changes in the composition of the transition rules and network dynamics.
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Amartya Bhattacharjya, Shoudan Liang. 1995-10-27. Power-law Distributions in the Kauffman Net. https://arxiv.org/abs/cond-mat/9510154
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