Departments of Physics andChemistry and.
Departments of Physics andCentre for Complexity Science, University of Warwick, Coventry CV4 7AL, United Kingdom; and.
Proc Natl Acad Sci U S A. 2014 Jul 22;111(29):10422-6. doi: 10.1073/pnas.1402202111. Epub 2014 Jul 7.
Swarming is a conspicuous behavioral trait observed in bird flocks, fish shoals, insect swarms, and mammal herds. It is thought to improve collective awareness and offer protection from predators. Many current models involve the hypothesis that information coordinating motion is exchanged among neighbors. We argue that such local interactions alone are insufficient to explain the organization of large flocks of birds and that the mechanism for the exchange of long-range information necessary to control their density remains unknown. We show that large flocks self-organize to the maximum density at which a typical individual still can see out of the flock in many directions. Such flocks are marginally opaque--an external observer also still can see a substantial fraction of sky through the flock. Although this seems intuitive, we show it need not be the case; flocks might easily be highly diffuse or entirely opaque. The emergence of marginal opacity strongly constrains how individuals interact with one another within large swarms. It also provides a mechanism for global interactions: an individual can respond to the projection of the flock that it sees. This provides for faster information transfer and hence rapid flock dynamics, another advantage over local models. From a behavioral perspective, it optimizes the information available to each bird while maintaining the protection of a dense, coherent flock.
群体聚集是鸟类群体、鱼类群、昆虫群和哺乳动物群中观察到的一种明显的行为特征。它被认为可以提高集体意识,并提供对捕食者的保护。许多当前的模型都涉及到这样一种假设,即协调运动的信息在邻居之间进行交换。我们认为,仅仅这种局部相互作用不足以解释鸟类大群的组织方式,而且控制其密度所需的长程信息交换机制仍然未知。我们表明,大群自组织到最大密度,在这种密度下,一个典型个体仍然可以从群体中的许多方向看到外面。这样的群体只是略有不透明——外部观察者仍然可以通过群体看到很大一部分天空。虽然这似乎是直观的,但我们表明情况不一定如此;群体可能很容易变得高度扩散或完全不透明。边际不透明度的出现强烈限制了个体在大群中相互作用的方式。它还为全局交互提供了一种机制:个体可以对它所看到的群体的投影做出反应。这提供了更快的信息传递,从而使群体动态更快,这是局部模型的另一个优势。从行为的角度来看,它优化了每只鸟可用的信息,同时保持了密集、连贯的鸟群的保护。