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摘要翻译：
我们研究了确定性但非同步更新对随机布尔网络的影响，重点是临界网络。知道“相关分量”决定吸引子的数量和长度，我们关注这些相关分量，并计算这些分量上的吸引子的长度和数量如何被一个或多个节点上的延迟所改变。主要的发现是，当延迟较多时，吸引子的数量会减少；当延迟不是基本更新步长的整数倍时，周期可能会变得很长。
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英文标题：
《Critical Kauffman networks under deterministic asynchronous update》
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作者：
Florian Greil, Barbara Drossel, Joost Sattler
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最新提交年份：
2007
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分类信息：
一级分类：Physics 物理学
二级分类：Disordered Systems and Neural Networks 无序系统与神经网络
分类描述：Glasses and spin glasses; properties of random, aperiodic and quasiperiodic systems; transport in disordered media; localization; phenomena mediated by defects and disorder; neural networks
眼镜和旋转眼镜；随机、非周期和准周期系统的性质；无序介质中的传输；本地化；由缺陷和无序介导的现象；神经网络
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一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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英文摘要：
We investigate the influence of a deterministic but non-synchronous update on Random Boolean Networks, with a focus on critical networks. Knowing that ``relevant components'' determine the number and length of attractors, we focus on such relevant components and calculate how the length and number of attractors on these components are modified by delays at one or more nodes. The main findings are that attractors decrease in number when there are more delays, and that periods may become very long when delays are not integer multiples of the basic update step.
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PDF链接：
https://arxiv.org/pdf/707.145
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