When the Wisdom of Crowd is Able to Overturn an Unpopular Norm? Lessons Learned from an Agent-Based Simulation

K. Zia, U. Farooq, A. Ferscha
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Abstract

A model of bystanders' effect on volunteering (in case of an observed crime or critical situation) is extended to incorporate the possibility of a sense of guilt (after nonintervention). Based on sound theoretical and experimental foundations, an existing model of the spread of unpopular norms is used to allow dispersion of an unpopular norm (a mild crime) so that a population of agents may follow or accept it. The question asked is why a society (as a whole) is not able to overturn an unpopular norm through interventions. An agent-based model is proposed which captures all necessary ingredients to explore this question. Several what-if questions are asked by varying simulation parameters. The model and simulation reveal that a sense of guilt of bystanders improves the volunteering tendency. The simulation results also provide pieces of evidence of clear differentiation between the individual and societal perception of a crime. Through the simulation results, we were able to conclude that guilt, not only, improves the volunteering tendency, but also, very clearly differentiates between the individual and societal perception of an unpopular norm. Overall, it was learned that people intervene only when they are able to overcome the inhibitions of the crowd. However, even interventions do not guarantee to overturn an unpopular norm. In fact, irrespective of the state of interventions, there is no neutralization without guilt.
当群众的智慧能够推翻不受欢迎的规范?从基于代理的模拟中学到的经验教训
旁观者对志愿服务的影响模型(在观察到犯罪或危急情况下)被扩展到包括内疚感的可能性(在不干预之后)。基于良好的理论和实验基础,一个现有的不受欢迎的规范传播模型被用来允许不受欢迎的规范(轻微的犯罪)的扩散,这样一群代理人可能会遵循或接受它。问题是,为什么一个社会(作为一个整体)不能通过干预来推翻不受欢迎的规范。提出了一个基于智能体的模型,该模型捕获了探索该问题所需的所有要素。不同的模拟参数会提出几个假设问题。模型和仿真结果表明,旁观者的内疚感对志愿者倾向有促进作用。模拟结果还提供了个人和社会对犯罪的看法明显不同的证据。通过模拟结果,我们可以得出这样的结论:内疚不仅提高了志愿服务的倾向,而且非常清楚地区分了个人和社会对不受欢迎的规范的看法。总的来说,我们了解到,只有当人们能够克服人群的抑制时,他们才会干预。然而,即使是干预也不能保证推翻不受欢迎的规范。事实上,不管干预的状态如何,没有负罪感就没有中和。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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