Flock2:基于方向的社会成群模型

IF 1.9 4区 数学 Q2 BIOLOGY
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引用次数: 0

摘要

鸟类的空中集群(或称杂音)令观察者着迷,同时也给行为研究和模拟带来了许多挑战。我们研究了杂音的外围如何保持良好的边界和凝聚力。我们还研究了鸟群受到干扰时出现的躁动波,并为它们如何自发出现建立了一个合理的模型。为了理解这些行为,我们提出了一个基于方向的社会成群的新模型。以前的方法是通过考虑每只鸟周围的邻域来建立鸟群间的动态模型,并将规避、排列和凝聚力作为改变加速度的三维矢量引入模型。我们的方法引入了基于方向的社会成群,将来自邻居的社会影响更真实地视为转向的愿望,在空气动力学模型中间接控制航向。虽然我们的模型可以应用于任何成群结队的社会鸟类,但我们模拟了成群结队的椋鸟(Sturnus vulgaris),并证明了在没有捕食者的情况下出现定向波的可能性。我们的模型呈现出与观察结果一致的球形和卵形鸟群形状。我们的模型与雷诺模型在能量消耗和频率分析方面的比较表明,我们的模型运动更逼真,转弯时的能量消耗明显更少,而且出现定向波的机制也更合理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Flock2: A model for orientation-based social flocking

Flock2: A model for orientation-based social flocking

The aerial flocking of birds, or murmurations, has fascinated observers while presenting many challenges to behavioral study and simulation. We examine how the periphery of murmurations remain well bounded and cohesive. We also investigate agitation waves, which occur when a flock is disturbed, developing a plausible model for how they might emerge spontaneously. To understand these behaviors a new model is presented for orientation-based social flocking. Previous methods model inter-bird dynamics by considering the neighborhood around each bird, and introducing forces for avoidance, alignment, and cohesion as three dimensional vectors that alter acceleration. Our method introduces orientation-based social flocking that treats social influences from neighbors more realistically as a desire to turn, indirectly controlling the heading in an aerodynamic model. While our model can be applied to any flocking social bird we simulate flocks of starlings, Sturnus vulgaris, and demonstrate the possibility of orientation waves in the absence of predators. Our model exhibits spherical and ovoidal flock shapes matching observation. Comparisons of our model to Reynolds’ on energy consumption and frequency analysis demonstrates more realistic motions, significantly less energy use in turning, and a plausible mechanism for emergent orientation waves.

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来源期刊
CiteScore
4.20
自引率
5.00%
发文量
218
审稿时长
51 days
期刊介绍: The Journal of Theoretical Biology is the leading forum for theoretical perspectives that give insight into biological processes. It covers a very wide range of topics and is of interest to biologists in many areas of research, including: • Brain and Neuroscience • Cancer Growth and Treatment • Cell Biology • Developmental Biology • Ecology • Evolution • Immunology, • Infectious and non-infectious Diseases, • Mathematical, Computational, Biophysical and Statistical Modeling • Microbiology, Molecular Biology, and Biochemistry • Networks and Complex Systems • Physiology • Pharmacodynamics • Animal Behavior and Game Theory Acceptable papers are those that bear significant importance on the biology per se being presented, and not on the mathematical analysis. Papers that include some data or experimental material bearing on theory will be considered, including those that contain comparative study, statistical data analysis, mathematical proof, computer simulations, experiments, field observations, or even philosophical arguments, which are all methods to support or reject theoretical ideas. However, there should be a concerted effort to make papers intelligible to biologists in the chosen field.
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