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Dynamical modelling collective behavior through adaptation to topological neighbors

机译:通过适应拓扑邻居动态建模集体行为

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In recent years the field studies on collective behaviors have revealed that topological interaction of k nearest neighbors plays a the key role in flocking. In this work, we show a model of flocking through adaptation to k nearest topological neighbors, and examine the influence of the number of topological neighbors on flocking dynamics with different group size. The model is validated by simulations.
机译:近年来,对集体行为的现场研究表明,k个最近邻居的拓扑相互作用在植绒中起着关键作用。在这项工作中,我们展示了通过适应k个最近的拓扑邻居进行植绒的模型,并研究了拓扑邻居数量对具有不同组规模的植绒动力学的影响。该模型通过仿真验证。

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