作者: L Glass , C Hill
DOI: 10.1209/EPL/I1998-00199-0
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摘要: Random Boolean networks that model genetic show transitions between ordered and disordered dynamics as a function of the number inputs per element, K, probability, p, truth table for given element will have bias being 1, in limit elements N → ∞. We analyze randomly constructed ordinary differential equation analogues random networks. These transition from order to chaos finite N. Qualitative features network can be predicted based on computation mean dimension subspace admitting outflows during integration equations.