随机和演化布尔网络中的扰动传播
Perturbation propagation in random and evolved Boolean networks
摘要：
我们研究了布尔网络中扰动的传播，通过评估德里达图和修改它，我们表明，即使是小的随机布尔网络同意以及退火近似的预测，但非随机网络表现出非常不同的行为。我们专注于为高动态鲁棒性而进化的网络。最重要的结论是，冻结，临界和混沌网络之间的简单区别不再有用，因为这样的进化网络可以显示所有三种类型的网络的属性。此外，我们评估了一个简化的经验网络，并显示其特定的状态空间属性是如何反映在修改后的德里达图。
英文摘要：
We investigate the propagation of perturbations in Boolean networks by evaluating the Derrida plot and modifications of it. We show that even small Random Boolean Networks agree well with the predictions of the annealed approximation, but non-random networks show a very different behaviour. We focus on networks that were evolved for high dynamical robustness. The most important conclusion is that the simple distinction between frozen, critical and chaotic networks is no longer useful, since such evolved networks can display properties of all three types of networks. Furthermore, we evaluate a simplified empirical network and show how its specific state space properties are reflected in the modified Derrida plots.
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。
