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从工作记忆和学前儿童的抑制控制来预测情绪决策:使用决策树模型

Marzihe Abbaasi¹, Ali Mashhadi¹, Imanollah Bigdeli¹

¹Department of Psychology, Faculty of Educational Sciences and Psychology, Ferdowsi University of Mashhad, Mashhad, Iran.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence

|February 17, 2025

概括

冷酷的执行功能,如记忆和抑制控制,可以预测热的执行功能,如儿童的决策. 这项研究突出了执行功能的认知和情绪方面之间的联系.

科学领域:

发展心理学发展心理学
认知神经科学认知神经科学
计算心理学计算心理学

背景情况:

执行职能被广泛分为"冷" (认知) 和"热" (情绪) 方面,尽管它们的相互关系尚未完全理解.
决策树模型为数据分析和预测提供了一个可解释的,层次化的方法,模仿人类的决策.
之前的研究还没有利用决策树模型来研究冷和热的执行功能之间的关系.

研究的目的:

探索学龄前儿童冷酷执行功能和热热执行功能之间的预测关系.
应用C4.5决策树算法来建模这种关系.
为了确定认知执行功能是否可以预测情感执行功能.

主要方法:

利用C4.5决策树算法进行预测建模.
评估了使用前进/后退数字跨度和日夜/快乐/悲伤抑制控制等任务的酷执行功能.
通过儿童博任务 (CGT) 对71名讲波斯语的伊朗学龄前儿童 (4-5岁) 进行评估.

主要成果:

决策树模型实现了最小的预测误差,证明了强大的预测能力.
凉爽的执行功能任务得分有效地预测了热的执行功能任务 (CGT) 的得分.
这些发现表明认知和情绪执行功能之间存在显著的预测关系.

结论:

凉爽的执行功能具有强大的预测能力,用于年幼儿童的炎热的执行功能.
这项研究为执行职能认知和情绪方面的相互联系提供了经验证据.
决策树建模为理解执行职能中的复杂关系提供了有价值的框架.

关键词:

热和冷的执行功能热和冷的执行功能决策树是一个决策树.情绪化的决策决策.抑制控制的抑制控制工作记忆工作记忆

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