ACSEE: Antagonistic Crowd Simulation Model With Emotional Contagion and Evolutionary Game Theory
ACSEE: Antagonistic Crowd Simulation Model With Emotional Contagion and Evolutionary Game Theory
复制标题
ACSEE：具有情绪传染和进化博弈论的对抗性人群模拟模型
DOI：
10.1109/taffc.2019.2954394
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发表时间：
2022-04-01
影响因子：
11.2
通讯作者：
Xu, Mingliang
中科院分区：
文献类型：
--
作者：
Li, Chaochao;Lv, Pei;Xu, Mingliang
在严重冲突的情况下，常常会观察到对抗性的群体行为。对抗性情绪是群体暴力场景中不同角色（即警察、激进分子和平民）的主体的典型心理状态，以及它们在群体中通过传染扩散的方式是群体对抗行为的重要原因。此外，博弈是指对立群体之间采用不同策略以获得更高利益和更少伤亡的相互作用，它决定了群体暴力的程度。我们提出了一个对抗性群体模拟模型（ACSEE），它融合了对抗性情绪传染和进化博弈理论。我们的方法使用心理情绪和外在情绪两个成分来模拟不同角色的主体之间的对抗性情绪。我们结合增强的易感 - 感染 - 易感（SIS）模型和博弈方法来评估对抗性情绪传染在群体暴力中的作用。我们的进化博弈理论方法通过威慑力纳入对抗性情绪传染，威慑力是由击败对手的情绪力量和物理力量混合而成的。对抗性情绪传染和进化博弈理论相互影响，以决定对抗性群体行为。我们在由不同类型主体组成的现实场景中评估我们的方法。我们还将模拟的群体行为与现实世界的群体视频进行比较，并使用我们的方法来预测暴力事件中群体运动的趋势。我们研究了各种因素（主体数量、情绪、策略等）对群体暴力结果的影响。我们展示了用户研究的结果，表明我们的模型能够模拟与现实场景中相似的对抗性群体行为。
Antagonistic crowd behaviors are often observed in cases of serious conflict. Antagonistic emotions, which is the typical psychological state of agents in different roles (i.e., cops, activists, and civilians) in crowd violence scenes, and the way they spread through contagion in a crowd are important causes of crowd antagonistic behaviors. Moreover, games, which refers to the interaction between opposing groups adopting different strategies to obtain higher benefits and less casualties, determine the level of crowd violence. We present an antagonistic crowd simulation model (ACSEE), which is integrated with antagonistic emotional contagion and evolutionary game theories. Our approach models the antagonistic emotions between agents in different roles using two components: mental emotion and external emotion. We combine enhanced susceptible-infectious-susceptible (SIS) and game approaches to evaluate the role of antagonistic emotional contagion in crowd violence. Our evolutionary game theoretic approach incorporates antagonistic emotional contagion through deterrent force, which is modelled by a mixture of emotional forces and physical forces defeating the opponents. Antagonistic emotional contagion and evolutionary game theories influence each other to determine antagonistic crowd behaviors. We evaluate our approach on real-world scenarios consisting of different kinds of agents. We also compare the simulated crowd behaviors with real-world crowd videos and use our approach to predict the trends of crowd movements in violence incidents. We investigate the impact of various factors (number of agents, emotion, strategy, etc.) on the outcome of crowd violence. We present results from user studies suggesting that our model can simulate antagonistic crowd behaviors similar to those seen in real-world scenarios.