Emergent Sensing of Complex Environments by Mobile Animal Groups
Emergent Sensing of Complex Environments by Mobile Animal Groups
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DOI：
10.1126/science.1225883
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发表时间：
2013-02-01
期刊：
影响因子：
56.9
通讯作者：
Couzin, Iain D.
中科院分区：
文献类型：
--
作者：
Berdahl, Andrew;Torney, Colin J.;Couzin, Iain D.
群体展示集体智慧的能力是群体生活的一个经常被引用的优势。以前的研究表明，社会有机体经常从汇集不完美的个体估计中受益。然而，原则上，集体智慧也可能来自个体之间的互动，而不是来自个人估计的增强。在这里，我们发现，这种紧急的问题解决是一个移动的动物群体响应复杂的环境梯度的主要机制。强大的集体感知出现在群体层面上，来自个体调节他们的速度，以响应局部的、标量的光测量，并通过与他人的社会互动。这种分布式传感只需要基本的认知，因此可以广泛应用于生物分类群，此外还适用于机器人代理。
The capacity for groups to exhibit collective intelligence is an often-cited advantage of group living. Previous studies have shown that social organisms frequently benefit from pooling imperfect individual estimates. However, in principle, collective intelligence may also emerge from interactions between individuals, rather than from the enhancement of personal estimates. Here, we reveal that this emergent problem solving is the predominant mechanism by which a mobile animal group responds to complex environmental gradients. Robust collective sensing arises at the group level from individuals modulating their speed in response to local, scalar, measurements of light and through social interaction with others. This distributed sensing requires only rudimentary cognition and thus could be widespread across biological taxa, in addition to being appropriate and cost-effective for robotic agents.