The geometry of decision-making in individuals and collectives.

The geometry of decision-making in individuals and collectives.
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DOI:
10.1073/pnas.2102157118
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发表时间:
2021-12-14
影响因子:
11.1
通讯作者:
Couzin ID
Couzin ID
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Sridhar VH;Li L;Gorbonos D;Nagy M;Schell BR;Sorochkin T;Gov NS;Couzin ID

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几乎所有的动物都必须在迁徙过程中做出决定。在这里,我们采用理论和高通量实验相结合的方法(使用最先进的虚拟现实),揭示了存在基本的几何原理,这些原理源于运动和生物体对空间的内部表示之间的内在相互作用。具体地说,我们发现动物自发地将世界简化为一系列连续的二元决策,这种反应有助于有效的决策,并且对可用选项的数量和上下文都是健壮的,例如选项是静态的(例如避难所)还是移动的(例如其他动物)。我们提出的证据表明,这些迄今被忽视的相同原则适用于生物组织的各个层面,从个人决策到集体决策。在空间分布的选项中进行选择是动物面临的一个核心挑战,从选择其他潜在的食物来源或避难所到选择与谁联系。使用理论和实验相结合的方法(采用沉浸式虚拟现实),我们考虑了空间中两个或多个选项的决策过程中运动和矢量整合之间的相互作用。在这一过程的计算模型中,我们揭示了自发和突然的“关键”转变(与特定的几何关系有关)的发生,在这种转变中,生物体自发地从平均向量信息转换到突然排除剩余选项中的一个。这种分化过程不断重复,直到只剩下一个选项--最终被选中的那个选项。因此,我们预测大脑会在时空中反复地将多项选择的决定分解成一系列的二元决定。对果蝇、沙漠蝗虫和斑马鱼幼虫的实验表明,它们表现出同样的分叉,表明在不同的分类群和生态环境中,存在基本的几何原理,这些原理对于解释动物如何以及为什么以它们的方式移动是必不可少的。
Almost all animals must make decisions on the move. Here, employing an approach that integrates theory and high-throughput experiments (using state-of-the-art virtual reality), we reveal that there exist fundamental geometrical principles that result from the inherent interplay between movement and organisms’ internal representation of space. Specifically, we find that animals spontaneously reduce the world into a series of sequential binary decisions, a response that facilitates effective decision-making and is robust both to the number of options available and to context, such as whether options are static (e.g., refuges) or mobile (e.g., other animals). We present evidence that these same principles, hitherto overlooked, apply across scales of biological organization, from individual to collective decision-making. Choosing among spatially distributed options is a central challenge for animals, from deciding among alternative potential food sources or refuges to choosing with whom to associate. Using an integrated theoretical and experimental approach (employing immersive virtual reality), we consider the interplay between movement and vectorial integration during decision-making regarding two, or more, options in space. In computational models of this process, we reveal the occurrence of spontaneous and abrupt “critical” transitions (associated with specific geometrical relationships) whereby organisms spontaneously switch from averaging vectorial information among, to suddenly excluding one among, the remaining options. This bifurcation process repeats until only one option—the one ultimately selected—remains. Thus, we predict that the brain repeatedly breaks multichoice decisions into a series of binary decisions in space–time. Experiments with fruit flies, desert locusts, and larval zebrafish reveal that they exhibit these same bifurcations, demonstrating that across taxa and ecological contexts, there exist fundamental geometric principles that are essential to explain how, and why, animals move the way they do.
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