高明, 黄仁辉. 群体情绪对风险型环境群体性事件的影响——基于RDEU演化博弈模型[J]. 电子科技大学学报社科版, 2021, 23(1): 1-9. DOI: 10.14071/j.1008-8105(2021)-3001
引用本文: 高明, 黄仁辉. 群体情绪对风险型环境群体性事件的影响——基于RDEU演化博弈模型[J]. 电子科技大学学报社科版, 2021, 23(1): 1-9. DOI: 10.14071/j.1008-8105(2021)-3001
GAO Ming, HUANG Ren-hui. The Influence of Group Emotion on Risk Environmental Group Events——Based on RDEU game model analysis[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 1-9. DOI: 10.14071/j.1008-8105(2021)-3001
Citation: GAO Ming, HUANG Ren-hui. The Influence of Group Emotion on Risk Environmental Group Events——Based on RDEU game model analysis[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 1-9. DOI: 10.14071/j.1008-8105(2021)-3001

群体情绪对风险型环境群体性事件的影响基于RDEU演化博弈模型

The Influence of Group Emotion on Risk Environmental Group EventsBased on RDEU game model analysis

  • 摘要:
    目的/意义群体情绪对环境冲突影响深远。
    设计/方法通过引入等级依赖期望效用理论(Rank Dependent Expected Utility Theory,简称RDEU理论),使之与演化博弈相结合,构建风险型环境群体性事件的RDEU博弈模型来具体探寻此类事件在不同情绪影响下的演化机理。
    结论/发现结果表明:当政府理性时,群众方在乐观情绪中倾向以合作的态度处理利益冲突,而在悲观情绪影响下容易选择具有“对抗性”策略,并且悲观情绪对决策行为影响深于乐观情绪;而当双方都有情绪时,决策行为受对方策略倾向及己方情绪共同影响,并选择自身收益最大的决策,如在感知对方选择“对抗性”策略低于某一临界值后,博弈方会随情绪指数升高而倾向选择“对抗性”。最后,通过MATLAB软件进行数值分析验证以上结论。

     

    Abstract: Purpose/Significance Group emotion has a profound impact on environmental conflict. Design/Methodology The Rank Dependent Expected Utility Theory (RDEU theory), combined with the evolutionary game theory, is introduced to construct the RDEU game model of risk environment group events for the purpose of exploring the evolution mechanism of such events under the influence of different emotions. Findings/Conclusions The results show that given the rational government, the general public tends to cooperatively deal with conflicts of interest when optimistic while choose aggressive strategies when pessimistic, and the influence of pessimism outweighs that of optimism on decision-making behavior. Given that both parties are emotional, the decision-making behavior, influenced by the player’s own emotion and the other player’s strategic orientation, proves to choose the one with the maximum benefit. For example, after perceiving that the other player chooses an offensive strategy below a certain threshold value, the player tends to choose confrontation with the increase of emotion index. Finally, the conclusion is validated by the numerical analysis of MATLAB software.

     

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