NK-Kauffman网络生成的不同二值函数的数量与遗传鲁棒性的出现

D. Romero, F. Zertuche
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引用次数: 7

摘要

我们确定了产生相同二元函数的\textit{NK-Kauffman}网络的平均值$ \vartheta (N, K) $。我们表明,对于$ N \gg 1 $,存在一个连接临界值$ K_c $,使得$ K K_c $的$ \vartheta(N,K) \approx e^{\phi N} $ ($ \phi > 0 $)。我们发现$ K_c $不是一个常数,但随着$ N $的变化,它的变化非常缓慢,如$ K_c \approx \log_2 \log_2 (2N / \ln 2) $。遗传稳健性问题作为\textit{NK-}Kauffman网络集合的统计特性而出现,并对基因型-表型图谱中可以具有的遗传相互作用的平均数量施加了严格的约束。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Number of Different Binary Functions Generated by NK-Kauffman Networks and the Emergence of Genetic Robustness
We determine the average number $ \vartheta (N, K) $, of \textit{NK}-Kauffman networks that give rise to the same binary function. We show that, for $ N \gg 1 $, there exists a connectivity critical value $ K_c $ such that $ \vartheta(N,K) \approx e^{\phi N} $ ($ \phi > 0 $) for $ K K_c $. We find that $ K_c $ is not a constant, but scales very slowly with $ N $, as $ K_c \approx \log_2 \log_2 (2N / \ln 2) $. The problem of genetic robustness emerges as a statistical property of the ensemble of \textit{NK}-Kauffman networks and impose tight constraints in the average number of epistatic interactions that the genotype-phenotype map can have.
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