基于速度场的对抗行动人群建模与仿真

Congcong Bian, Dan Chen, Shuaiting Wang
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引用次数: 7

摘要

在维持和平、国内或作战行动中,可能会发生意想不到的人群对抗。人类作为一个高度动态的社会群体,群体对抗是一种令人着迷的现象。本研究提出了一种基于向量场概念的新方法来阐述外部刺激对群体中个体行为的影响方式。我们的方法将每个个体表示为一个自主代理,其行为由向量场模型指导。此外,还采用了信息熵的概念来描述个体的行为与整个群体的失序潜力之间的联系。从而对人群对抗过程中的无形动态进行定量分析,对人群控制策略的设计具有重要意义。
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Velocity Field Based Modelling and Simulation of Crowd in Confrontation Operations
In peacekeeping, domestic or combat operations, unanticipated crowd confrontations can occur. As a highly dynamic social group, human crowd in confrontation is a fascinating phenomenon. This study proposes a novel method based on the concept of vector field to formulate the way in which external stimuli may affect the behaviors of individuals in a crowd. Our approach represents each individual as an autonomous agent whose actions are guided by the vector field model. Furthermore, the concept of information entropy has been adopted to describe the connection between individuals’ behaviors and the potential of disorder of the whole crowd. A quantitative analysis on intangible dynamics of a crowd in confrontation is then enabled, which is significant in designing crowd control tactics.
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