Computational modeling approaches to emotional development.

IF 3.1 2区 心理学 Q2 PSYCHOLOGY, DEVELOPMENTAL Developmental Psychology Pub Date : 2024-09-26 DOI:10.1037/dev0001830
Andrea G Stein, Seth D Pollak
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Abstract

Computational models of development have the potential to address a key challenge in emotional development research: investigating not only what changes across development but also how these changes come about. Drawing on connectionist and Bayesian methods, this review considers how computational modeling could augment the processes of theorizing and behavioral research to investigate causal processes underlying emotional development. As an illustrative example, we consider how different modeling approaches could help researchers evaluate different ideas about how children come to reason about others' emotions in increasingly sophisticated ways across development. This example is just a starting point; we propose that computational modeling could be an invaluable tool for exploring a variety of yet unresolved "how" questions in emotional development. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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情绪发展的计算建模方法。
情绪发展的计算模型有可能解决情绪发展研究中的一个关键挑战:不仅要研究在整个发展过程中发生了哪些变化,还要研究这些变化是如何产生的。本综述借鉴联结主义和贝叶斯方法,探讨了计算建模如何增强理论化和行为研究过程,以调查情绪发展的因果过程。作为一个示例,我们考虑了不同的建模方法如何帮助研究人员评估不同的观点,即儿童如何在整个发展过程中以越来越复杂的方式推理他人的情绪。这个例子只是一个起点;我们建议,计算建模可以成为探索情绪发展中各种尚未解决的 "如何 "问题的宝贵工具。(PsycInfo Database Record (c) 2024 APA, 版权所有)。
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来源期刊
Developmental Psychology
Developmental Psychology PSYCHOLOGY, DEVELOPMENTAL-
CiteScore
5.80
自引率
2.50%
发文量
329
期刊介绍: Developmental Psychology ® publishes articles that significantly advance knowledge and theory about development across the life span. The journal focuses on seminal empirical contributions. The journal occasionally publishes exceptionally strong scholarly reviews and theoretical or methodological articles. Studies of any aspect of psychological development are appropriate, as are studies of the biological, social, and cultural factors that affect development. The journal welcomes not only laboratory-based experimental studies but studies employing other rigorous methodologies, such as ethnographies, field research, and secondary analyses of large data sets. We especially seek submissions in new areas of inquiry and submissions that will address contradictory findings or controversies in the field as well as the generalizability of extant findings in new populations. Although most articles in this journal address human development, studies of other species are appropriate if they have important implications for human development. Submissions can consist of single manuscripts, proposed sections, or short reports.
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