Helbing Dirk, Yu Wenjian, Opp Karl-Dieter, Rauhut Heiko
ETH Zurich - Swiss Federal Institute of Technology Zurich, Chair of Sociology, in particular of Modeling and Simulation, Zurich, Switzerland; Santa Fe Institute, Santa Fe, New Mexico, United States of America.
ETH Zurich - Swiss Federal Institute of Technology Zurich, Chair of Sociology, in particular of Modeling and Simulation, Zurich, Switzerland.
PLoS One. 2014 Aug 28;9(8):e104207. doi: 10.1371/journal.pone.0104207. eCollection 2014.
Understanding norms is a key challenge in sociology. Nevertheless, there is a lack of dynamical models explaining how one of several possible behaviors is established as a norm and under what conditions. Analysing an agent-based model, we identify interesting parameter dependencies that imply when two behaviors will coexist or when a shared norm will emerge in a heterogeneous society, where different populations have incompatible preferences. Our model highlights the importance of randomness, spatial interactions, non-linear dynamics, and self-organization. It can also explain the emergence of unpopular norms that do not maximize the collective benefit. Furthermore, we compare behavior-based with preference-based punishment and find interesting results concerning hypocritical punishment. Strikingly, pressuring others to perform the same public behavior as oneself is more effective in promoting norms than pressuring others to meet one's own private preference. Finally, we show that adaptive group pressure exerted by randomly occuring, local majorities may create norms under conditions where different behaviors would normally coexist.
理解规范是社会学中的一个关键挑战。然而,目前缺乏动态模型来解释几种可能行为中的一种是如何被确立为规范的,以及在何种条件下被确立。通过分析一个基于主体的模型,我们识别出了有趣的参数依赖性,这些依赖性表明了在一个异质社会中,当不同群体有不相容的偏好时,两种行为何时会共存,或者何时会出现一种共享规范。我们的模型突出了随机性、空间相互作用、非线性动力学和自组织的重要性。它还可以解释那些并非使集体利益最大化的不受欢迎规范的出现。此外,我们将基于行为的惩罚与基于偏好的惩罚进行了比较,并发现了关于伪善惩罚的有趣结果。引人注目的是,迫使他人做出与自己相同的公共行为比迫使他人满足自己的私人偏好更能有效地促进规范。最后,我们表明,由随机出现的局部多数群体施加的适应性群体压力,可能会在不同行为通常会共存的条件下创造出规范。