布尔网络中的冗余和容错
Redundancy and error resilience in Boolean Networks
摘要：
本文研究了噪声对具有冗余函数的稀疏布尔网络的影响。我们发现，他们总是表现出一个非零的误差水平，和动态经历了一个相变从非遍历，作为噪声的函数，在此之后，系统是不再能够保持记忆，如果其初始状态。我们得到了不同稀疏度网络的噪声临界值的上界。
英文摘要：
We consider the effect of noise in sparse Boolean Networks with redundant functions. We show that they always exhibit a non-zero error level, and the dynamics undergoes a phase transition from non-ergodicity to ergodicity, as a function of noise, after which the system is no longer capable of preserving a memory if its initial state. We obtain upper-bounds on the critical value of noise for networks of different sparsity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
