Local information transfer as a spatiotemporal filter for complex systems
Local information transfer as a spatiotemporal filter for complex systems
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DOI：
10.1103/physreve.77.026110
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发表时间：
2008-02-01
影响因子：
2.4
通讯作者：
Zomaya, Albert Y.
中科院分区：
文献类型：
--
作者：
Lizier, Joseph T.;Prokopenko, Mikhail;Zomaya, Albert Y.
我们提出了一个本地信息传输的措施，来自现有的平均信息理论的措施，即转移熵。局部传递熵用于产生复杂系统中每个时空点的信息传递的轮廓。这些时空配置文件是有用的，不仅作为一种分析工具，而且还允许明确的调查不同的参数设置和形式的转移熵度量本身。作为例子，将局部转移熵应用于元胞自动机，证明它是一种有用的相干结构过滤方法。更重要的是，局部传递熵为长期存在的猜想提供了第一个定量证据，即被称为粒子（滑翔机和畴壁，它们在许多物理过程中具有类似物）的新兴旅行相干结构是元胞自动机中占主导地位的信息传递代理。
We present a measure of local information transfer, derived from an existing averaged information-theoretical measure, namely, transfer entropy. Local transfer entropy is used to produce profiles of the information transfer into each spatiotemporal point in a complex system. These spatiotemporal profiles are useful not only as an analytical tool, but also allow explicit investigation of different parameter settings and forms of the transfer entropy metric itself. As an example, local transfer entropy is applied to cellular automata, where it is demonstrated to be a useful method of filtering for coherent structure. More importantly, local transfer entropy provides the first quantitative evidence for the long-held conjecture that the emergent traveling coherent structures known as particles (both gliders and domain walls, which have analogs in many physical processes) are the dominant information transfer agents in cellular automata.