临界布尔网络中冻结核的形成
Formation of the frozen core in critical Boolean Networks
摘要：
我们用数值方法和解析方法研究了临界随机布尔网络中带偏函数的冻结核的形成。我们证明，以前使用的有效算法获得冻结的核心，从节点与常数函数，失败时，每个节点的输入数超过4。我们提出了计算机模拟数据的过程中形成的冻结的核心和它的鲁棒性，我们表明，几个重要的功能的数据可以通过使用平均场计算。
英文摘要：
We investigate numerically and analytically the formation of the frozen core in critical random Boolean networks with biased functions. We demonstrate that a previously used efficient algorithm for obtaining the frozen core, which starts from the nodes with constant functions, fails when the number of inputs per node exceeds 4. We present computer simulation data for the process of formation of the frozen core and its robustness, and we show that several important features of the data can be derived by using a mean-field calculation.
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