AI 中文总结
该研究提出基于声学通信的昆虫群理论模型，发现随机噪声可增强昆虫群稳定性，且疟蚊群处于不稳定过渡边缘，证明简单局部规则可描述群居生物集体行为。
AI 中文摘要
飞行昆虫群展现出内聚性，却不存在鸟群或鱼群中观察到的局部速度对齐现象。导致昆虫群体行为的相互作用规则及个体间的通信渠道尚未明确。我们提出了一个基于昆虫群成员间声学通信的理论模型，其中每个个体受邻居的加权平均场吸引。我们证明该简单框架可描述多种群动态，包括一对昆虫脱离群并绕彼此做螺旋轨道运动的现象。与直觉相反，我们的数值模型表明，随机噪声会通过干扰配对形成来增强昆虫群的稳定性。最后，我们证明特定种类的疟蚊所形成的群处于向不稳定过渡的边缘。本研究表明，相当简单的局部相互作用规则足以描述群居生物系统的集体行为。
英文摘要
Flying insect swarms exhibit cohesion without the local velocity alignment observed in flocks of birds or schools of fish. The interaction rules and channels of communication between insects that lead to collective behavior have not yet been determined. We propose a theoretical model based on acoustic communication between swarm members, where each individual is attracted to a weighted mean field of its neighbors. We demonstrate that this simple framework can describe a wide range of swarming dynamics, including a phenomenon where pairs of insects break free from the swarm in a helical orbit around each other. Counterintuitively, our numerical model suggests that stochastic noise enhances the stability of an insect swarm, as it interferes with pair formation. Finally, we demonstrate that a specific species of malarial mosquito produces swarms that reside on the edge of a transition to instability. Our study shows that fairly simple local interaction rules can be sufficient to describe the collective behavior of swarming biological systems.
