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利他行为中的动机鸡尾酒。

The motive cocktail in altruistic behaviors.

机构信息

State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.

Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.

出版信息

Nat Comput Sci. 2024 Sep;4(9):659-676. doi: 10.1038/s43588-024-00685-6. Epub 2024 Sep 12.

Abstract

Prosocial motives such as social equality and efficiency are key to altruistic behaviors. However, predicting the range of altruistic behaviors in varying contexts and individuals proves challenging if we limit ourselves to one or two motives. Here we demonstrate the numerous, interdependent motives in altruistic behaviors and the possibility to disentangle them through behavioral experimental data and computational modeling. In one laboratory experiment (N = 157) and one preregistered online replication (N = 1,258), across 100 different situations, we found that both third-party punishment and third-party helping behaviors (that is, an unaffected individual punishes the transgressor or helps the victim) aligned best with a model of seven socioeconomic motives, referred to as a motive cocktail. For instance, the inequality discounting motives imply that individuals, when confronted with costly interventions, behave as if the inequality between others barely exists. The motive cocktail model also provides a unified explanation for the differences in intervention willingness between second parties (victims) and third parties, and between punishment and helping.

摘要

亲社会动机,如社会平等和效率,是利他行为的关键。然而,如果我们只局限于一两个动机,那么预测不同情境和个体中的利他行为范围将具有挑战性。在这里,我们展示了利他行为中的众多相互依存的动机,以及通过行为实验数据和计算建模来区分它们的可能性。在一个实验室实验(N=157)和一个预先注册的在线复制实验(N=1258)中,我们在 100 种不同的情境中发现,第三方惩罚和第三方帮助行为(即,一个未受影响的个体惩罚违规者或帮助受害者)与一个由七个社会经济动机组成的模型最为契合,我们称之为动机鸡尾酒模型。例如,不平等折扣动机意味着,当个人面临昂贵的干预措施时,他们的行为就好像其他人之间的不平等几乎不存在一样。动机鸡尾酒模型还为第二方(受害者)和第三方之间、惩罚和帮助之间的干预意愿差异提供了统一的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1924/11422170/72057151b961/43588_2024_685_Fig1_HTML.jpg

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