Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2001-10-19
Nonlinear Sciences
Adaptation and Self-Organizing Systems
19 pages
Scientific paper
10.1016/S0167-2789(02)00618-8
A model of cellular metabolism due to S. Kauffman is analyzed. It consists of a network of Boolean gates randomly assembled according to a probability distribution. It is shown that the behavior of the network depends very critically on certain simple algebraic parameters of the distribution. In some cases, the analytic results support conclusions based on simulations of random Boolean networks, but in other cases, they do not.
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