较高的动机和快乐得分预测更多地依赖于无模型决策
Swathi K Karthik1, Katherine M K Pereira2, Adam J Culbreth3
1Department of Psychological and Brain Sciences, Washington University in St. Louis, St. Louis, MO, 63130, USA. kswathi@wustl.edu.
Cognitive, affective & behavioral neuroscience
|May 22, 2025
概括
决策依赖于动机和认知. 高度的动机/快乐与无模型学习有关,而强大的工作记忆与社区样本中的基于模型的学习有关.
科学领域:
- 神经科学是一个神经科学.
- 认知心理学 认知心理学
- 行为经济学是一种行为经济学.
背景情况:
- 决策受动机,快乐和认知能力的影响.
- 强化学习模型区分无模型和基于模型的路径.
- 了解这些途径与个体差异的关系至关重要.
研究的目的:
- 研究动机,快乐,认知技能和决策策略之间的关联.
- 检查社区人口中无模型与基于模型的学习的相对贡献.
主要方法:
- 对127名社区参与者进行了两阶段的决策任务.
- 一般化的线性混合效应模型用于统计分析.
- 使用了动机,快乐和工作记忆 (跑步任务) 的测量.
主要成果:
- 较高的动机和快乐与对无模型决策的依赖程度增加相关 (p=0.0267).
- 更好的工作记忆容量与更大的依赖基于模型的学习有关 (p=0.0003).
结论:
- 动机和认知的个体差异与决策中的不同学习途径有关.
- 这些发现超越了临床背景,暗示了理解抑郁症等疾病中决策受损的含义.
- 工作记忆能力对于基于模型的学习至关重要,而低动机/快乐可能会降低对即时奖励的敏感性.
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