首页> 外文期刊>Scientific reports. >Social learning may lead to population level conformity without individual level frequency bias
【24h】

Social learning may lead to population level conformity without individual level frequency bias

机译:社会学习可能会导致人口层面的整合,而不会出现个体层面的频率偏差

获取原文
       

摘要

A requirement of culture, whether animal or human, is some degree of conformity of behavior within populations. Researchers of gene-culture coevolution have suggested that population level conformity may result from frequency-biased social learning: individuals sampling multiple role models and preferentially adopting the majority behavior in the sample. When learning from a single role model, frequency-bias is not possible. We show why a population-level trend, either conformist or anticonformist, may nonetheless be almost inevitable in a population of individuals that learn through social enhancement, that is, using observations of others’ behavior to update their own probability of using a behavior in the future. The exact specification of individuals’ updating rule determines the direction of the trend. These results offer a new interpretation of previous findings from simulations of social enhancement in combination with reinforcement learning, and demonstrate how results of dynamical models may strongly depend on seemingly innocuous choices of model specifications, and how important it is to obtain empirical data on which to base such choices.
机译:文化的要求,无论是动物还是人类,都是某种程度的群体内行为整合。基因-文化共进化的研究人员认为,人口层次的符合性可能是由频率偏向的社会学习导致的:个体对多种榜样进行抽样,并优先采用样本中的多数行为。从单一榜样学习时,频率偏向是不可能的。我们展示了为什么在通过社会增强学习的人群中,无论是顺从还是反顺从的人群水平的趋势,仍可能是不可避免的,也就是说,通过观察他人的行为来更新自己在社交中使用某种行为的可能性。未来。个人更新规则的确切说明决定了趋势的方向。这些结果提供了对先前社会增强与强化学习相结合的模拟结果的新解释,并证明了动力学模型的结果如何可能强烈依赖于模型规范看似无害的选择,以及获得经验数据对评估模型的重要性。根据这样的选择。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号