Reid Chris R
School of Natural Sciences, Macquarie University, Sydney, Australia.
Learn Behav. 2024 Mar;52(1):1-2. doi: 10.3758/s13420-023-00580-6. Epub 2023 Mar 17.
Garg et al. (2023, Proceedings of the National Academy of Sciences, 120[6], e2207959120) build simulation models to understand how turtle ants collectively find efficient paths through branched networks, highlighting the importance of bidirectional traffic, leakage of ants at junctions, and the ability to increase flow as key components for efficiency. Their findings provide new, biologically realistic mechanisms that could improve applications in our own engineered networks.
加尔格等人(2023年,《美国国家科学院院刊》,120[6],e2207959120)构建了模拟模型,以了解龟蚁如何集体在分支网络中找到高效路径,强调双向交通、蚂蚁在节点处的泄漏以及增加流量的能力作为提高效率的关键组成部分的重要性。他们的发现提供了新的、符合生物学现实的机制,可改善我们自身工程网络中的应用。