The influence of noise on the dynamics of Random Boolean Network

Since real networks are noisy systems, in this work we investigate the dynamics of a deterministic model of gene networks affected by small random fluctuations. In this case jumps among different attractors are possible, thereby leading to an asymptotic dynamics different from that of the underlying deterministic model. The significance of the jumps among attractors is discussed. A key control parameter of this phenomenon is the size of the network, a fact that could lead to interesting consequences for the theories of natural and artificial evolving systems.

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