之前的信念在动态的概率环境中调节基于规则的学习:从层次的贝叶斯模型的洞察力
Weiwei Zhang1, Linyan Liu1, John W Schwieter2
1Institute of Psychological and Brain Science, Liaoning Normal University, Dalian 116029, China; Key Laboratory of Brain and Cognitive Neuroscience, Dalian, Liaoning Province 116029, China.
Behavioural brain research
|September 14, 2025
概括
人类表现出象征性的灵活性,在不断变化的环境中适应语言和数学规则的学习策略. 以前的信念影响学习速度和大脑活动,突出神经适应能力.
科学领域:
- 认知神经科学 认知神经科学
- 决策 决策 决策 决策 决策
- 象征性学习是一种象征性的学习.
背景情况:
- 人类在做决定时使用各种规则.
- 符号灵活性可以有效地获取不同的符号关联.
- 关于语言和非语言规则的动态环境中的符号灵活性存在不确定性.
研究的目的:
- 研究语言和非语言规则的动态环境中的符号灵活性.
- 检查先前的信念和环境的不确定性如何塑造学习.
- 为了确定规则特定学习的神经相关性.
主要方法:
- 概率逆转学习任务和图片字匹配任务的整合.
- 创建具有不同奖励概率的动态环境.
- 行为和fMRI数据的计算建模.
主要成果:
- 个体表现出符号的灵活性,学习不同的符号系统与不同的模式.
- 增加的先前信念值导致非语言规则的学习速度更快,但语言规则的学习速度更慢.
- 右尾状核显示了规则特定的激活模式,受概率和规则类型的影响.
结论:
- 以前的信念在规则类型和环境不确定性之间动态塑造学习策略.
- 神经和行为适应性是符号灵活性的基础.
- 符号灵活性在动态环境中保持在语言和非语言规则中.
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