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ORIGINAL RESEARCH article

Front. Phys.
Sec. Complex Physical Systems
Volume 12 - 2024 | doi: 10.3389/fphy.2024.1394983
This article is part of the Research Topic Nonequilibrium and Nonlinear Processes in Collective Dynamical Phenomena View all articles

How fear emotion impacts collective motion in threat environment

Provisionally accepted
Yi-Xuan Lv Yi-Xuan Lv 1Si-Ping Zhang Si-Ping Zhang 1Guan-Yu Meng Guan-Yu Meng 1Bing-Hui Guo Bing-Hui Guo 2Xiao-Long Liang Xiao-Long Liang 3Zhi-Xi Wu Zhi-Xi Wu 4Zi-Gang Huang Zi-Gang Huang 1*
  • 1 Xi'an Jiaotong University, Xi'an, China
  • 2 Beihang University, Beijing, Beijing Municipality, China
  • 3 Air Force Engineering University, Xi'an, Shaanxi Province, China
  • 4 Lanzhou University, Lanzhou, Gansu Province, China

The final, formatted version of the article will be published soon.

    The emergence of collective behavior often depends on the adequate interaction of individuals through self-organization and the exchange of local information. When facing external threats, communication among individuals requires both rapid and effective information exchange to characterize sudden events. In this paper, we introduce the mechanism of emotions into the modeling of dynamics to study collective avoidance behavior in response to threats. A scenario involving a hidden dynamic threat is constructed to test the avoidance and survival capabilities of the collective when faced with a lack of effective information. By employing the activation and spread of emotion, the collective may self-organized and adeptly mitigate risks and enhance their own benefits. Through adjustments to the intensity of emotional activation, spread, and decay, rich behaviors emerge. Furthermore, relying on the regulation of fear and excitement, the collective exhibits different response strategies and action patterns when facing threats, in which the optimal performance from the macroscopic level is expectable.

    Keywords: collective motion, emotional modulation, Information deficiency, Behavior emergence, threat environment

    Received: 02 Mar 2024; Accepted: 12 Jul 2024.

    Copyright: © 2024 Lv, Zhang, Meng, Guo, Liang, Wu and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zi-Gang Huang, Xi'an Jiaotong University, Xi'an, China

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