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原文連結
論文資訊
- 類型：已發表論文
- 日期：2014-08-28
摘要
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 智能體-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 族群s have incompatible preferences. Our model highlights the importance of randomness, spatial interactions, non-linear dynamics, and 自組織. It can also explain the 湧現 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
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