Closing probabilities in the Kauffman model: an annealed computation
classification
❄️ cond-mat
keywords
annealedapproximationkauffmanperiodsagreementattractionaveragebasins
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We define a probabilistic scheme to compute the distributions of periods, transients and weigths of attraction basins in Kauffman networks. These quantities are obtained in the framework of the annealed approximation, first introduced by Derrida and Pomeau. Numerical results are in good agreement with the computed values of the exponents of average periods, but show also some interesting features which can not be explained whithin the annealed approximation.
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