Information flow in finite flocks
Information flow in finite flocks
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DOI：
10.1038/s41598-020-59080-6
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发表时间：
2020-03-02
影响因子：
4.6
通讯作者：
Barnett, L.
中科院分区：
文献类型：
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作者：
Brown, J.;Bossomaier, T.;Barnett, L.
我们通过模拟规范的Vicsek模型并估计信息流作为噪声(每个动物与其邻居结盟的程度的可变性)的函数来探索有限活动物质群中的信息流。我们证明了有限群的整体传递熵不仅没有像典型的2D Ising模型那样在相变附近达到峰值，而且从整个有序区域的相变到非常低的噪声值都保持不变。这为未来研究更复杂的模型中的信息流和现实世界中的聚集数据提供了基础。
We explore information flow in finite active matter flocks by simulating the canonical Vicsek model and estimating the flow of information as a function of noise (the variability in the extent to which each animal aligns with its neighbours). We show that the global transfer entropy for finite flocks not only fails to peak near the phase transition, as demonstrated for the canonical 2D Ising model, but remains constant from the transition throughout the entire ordered regime to very low noise values. This provides a foundation for future study regarding information flow in more complex models and real-world flocking data.