32 research outputs found

    The Number of Different Binary Functions Generated by NK-Kauffman Networks and the Emergence of Genetic Robustness

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    We determine the average number ϑ(N,K) \vartheta (N, K) , of \textit{NK}-Kauffman networks that give rise to the same binary function. We show that, for N1 N \gg 1 , there exists a connectivity critical value Kc K_c such that ϑ(N,K)eϕN \vartheta(N,K) \approx e^{\phi N} (ϕ>0 \phi > 0 ) for K<Kc K < K_c and ϑ(N,K)1\vartheta(N,K) \approx 1 for K>Kc K > K_c . We find that Kc K_c is not a constant, but scales very slowly with N N , as Kclog2log2(2N/ln2) 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.Comment: 4 figures 18 page

    The Throughput Diagram — A General, Realistic Model of the Manufacturing Process

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    Production control in engineer-to-order firms

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