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Computational modeling of social decision-making
Current Opinion in Psychology ( IF 6.3 ) Pub Date : 2024-09-04 , DOI: 10.1016/j.copsyc.2024.101884
Sarah Vahed , Elijah P. Galván , Alan G. Sanfey

Social decision-making is guided by a complex set of social norms. Computational modeling can play a significant role in enriching our understanding of these norms and how precisely they direct social choices. Here, we highlight three major advantages to using computational modeling, particularly models derived from Utility Theory, in the study of social norms. We illustrate how such models can help generate detailed processes of decision-making, enforce theoretical precision by delineating abstract concepts, and unpack when, and why, people adhere to specific social norms. For each benefit, we discuss a recent study which has employed modeling in the service of assessing the role of norms in decision-making, collectively revealing how computational modeling enables better prediction, description, and explanation of important social choices.

中文翻译:


社会决策的计算模型



社会决策受到一套复杂的社会规范的指导。计算模型可以在丰富我们对这些规范以及它们如何精确指导社会选择的理解方面发挥重要作用。在这里,我们强调在社会规范研究中使用计算模型,特别是源自效用理论的模型的三个主要优点。我们说明了这些模型如何帮助生成详细的决策过程,通过描述抽象概念来提高理论精度,并揭示人们何时以及为何遵守特定的社会规范。对于每一个好处,我们讨论了最近的一项研究,该研究采用建模来评估规范在决策中的作用,共同揭示计算建模如何能够更好地预测、描述和解释重要的社会选择。
更新日期:2024-09-04
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