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推动人类群体前进的领导力。

Leadership in moving human groups.

作者信息

Boos Margarete, Pritz Johannes, Lange Simon, Belz Michael

机构信息

Courant Research Centre Evolution of Social Behaviour, University of Göttingen, Göttingen, Germany.

Economics Department & Centre for Statistics, University of Göttingen, Göttingen, Germany.

出版信息

PLoS Comput Biol. 2014 Apr 3;10(4):e1003541. doi: 10.1371/journal.pcbi.1003541. eCollection 2014 Apr.

DOI:10.1371/journal.pcbi.1003541
PMID:24699264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3974633/
Abstract

How is movement of individuals coordinated as a group? This is a fundamental question of social behaviour, encompassing phenomena such as bird flocking, fish schooling, and the innumerable activities in human groups that require people to synchronise their actions. We have developed an experimental paradigm, the HoneyComb computer-based multi-client game, to empirically investigate human movement coordination and leadership. Using economic games as a model, we set monetary incentives to motivate players on a virtual playfield to reach goals via players' movements. We asked whether (I) humans coordinate their movements when information is limited to an individual group member's observation of adjacent group member motion, (II) whether an informed group minority can lead an uninformed group majority to the minority's goal, and if so, (III) how this minority exerts its influence. We showed that in a human group--on the basis of movement alone--a minority can successfully lead a majority. Minorities lead successfully when (a) their members choose similar initial steps towards their goal field and (b) they are among the first in the whole group to make a move. Using our approach, we empirically demonstrate that the rules of swarming behaviour apply to humans. Even complex human behaviour, such as leadership and directed group movement, follow simple rules that are based on visual perception of local movement.

摘要

个体的行动如何作为一个群体进行协调?这是社会行为的一个基本问题,涵盖诸如鸟类集群、鱼群洄游以及人类群体中无数需要人们同步行动的活动等现象。我们开发了一种实验范式,即基于计算机的蜂巢多客户端游戏,以实证研究人类运动协调和领导力。以经济游戏为模型,我们设置货币激励措施,促使玩家在虚拟游戏场上通过移动来实现目标。我们探讨了以下问题:(I)当信息仅限于个体组成员对相邻组成员运动的观察时,人类是否会协调他们的行动;(II)一个有信息的少数群体是否能带领一个无信息的多数群体朝着少数群体的目标前进,如果可以,那么(III)这个少数群体是如何施加其影响的。我们表明,在人类群体中——仅基于行动——少数群体能够成功地带领多数群体。当少数群体满足以下条件时能够成功引领:(a)其成员朝着目标区域选择相似的初始步骤,以及(b)他们是整个群体中最先行动的成员之一。通过我们的方法,我们实证证明群体行为规则适用于人类。即使是复杂的人类行为,如领导力和有导向的群体运动,也遵循基于对局部运动的视觉感知的简单规则。

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Collective states, multistability and transitional behavior in schooling fish.群体状态、多稳定性和洄游鱼类的迁徙行为。
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Least-effort trajectories lead to emergent crowd behaviors.最小努力轨迹导致涌现的群体行为。
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Communication and Cognition in Primate Group Movement.灵长类群体运动中的交流与认知
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