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首页> 外文会议>International Conference on Social, Cultural, and Behavioral Modeling Prediction and Behavior Representation in Modeling and Simulation >Modeling and Simulation of Sectarian Tensions in Split Communities
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Modeling and Simulation of Sectarian Tensions in Split Communities

机译：分裂社区中宗派紧张局势的建模与仿真

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We present a simple agent-based model for the evolution of between-group attitudes (measured on a linear scale) in a community that is divided between two distinct social groups (which may be distinguished by religion, ethnicity, etc.). We derive approximate analytical equations to predict the change in mean attitudes over time given certain assumptions. The model predicts that social pressures cause each group to tend towards extremes of hostility or acceptance towards the other group. Under some conditions, groups can have stable extremist and moderate factions, but very small changes in system parameters can upset the stability. Interpersonal cohesion (the degree to which individuals influence each other's opinions) plays a significant role in controlling within-group polarization. We show that strategies to improve intergroup relations that target subsets of each group are much less effective when cohesion is low.
机译：我们介绍了一个简单的基于代理的模型，用于在两个不同的社会群体之间分配的社区中组合态度（在线性刻度测量）的演变模型（可能是由宗教，种族等区别）。我们得出了近似分析方程，以预测某些假设随着时间的推移意义态度的变化。该模型预测社会压力导致每个群体倾向于极端的敌意或对方接受。在某些条件下，群体可以具有稳定的极端主义和中度派系，但系统参数的非常小的变化可能会扰乱稳定性。人际凝聚力（个人影响彼此意见的程度）在控制组内极化方面发挥着重要作用。我们展示了改进杂交关系的策略，当凝聚力低时，每个群体的目标子集的靶酶的关系效果要小得多。

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