超认知和自信:一篇综述和综合
1Department of Experimental Psychology, Wellcome Centre for Human Neuroimaging, and Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, London, United Kingdom;
Annual review of psychology
|September 18, 2023
概括
这项研究将神经科学和元认知联系在一起,以解释信心和不确定性. 它提出了一个框架来理解我们如何评估自己的决定和行动,整合不同的发现.
科学领域:
- 认知神经科学 认知神经科学
- 超认知研究研究 超认知研究
- 计算精神病学是一种计算精神病学.
背景情况:
- 自信的神经科学通常侧重于次人不确定性表示 (例如,视觉,运动系统).
- 超认知研究通常检查个人层面的关于自我表现的信念.
- 在理解不确定性的神经机制和个人信心判断之间存在差距.
研究的目的:
- 通过专注于命题信心,弥合神经科学和元认知之间的沟.
- 制定一个统一的框架,整合关于不确定性和绩效监测的不同发现.
- 阐明对假设决策和行动的信心的计算和神经基础.
主要方法:
- 从神经科学和元认知发现的概念整合.
- 专注于命题信心,定义为对自己决定或行动的信心.
- 分析观察者对世界的内部模型和认知系统如何影响信心.
主要成果:
- 假设信心依赖于观察者的内部世界和认知模型.
- 模型准确性解释了为什么元认知判断可能与实际表现有所不同.
- 关于不确定性和性能监测的神经基础的不同发现是统一的.
结论:
- 提出了一个共同的框架,以了解个人和次个人层面的信心和不确定性.
- 超认知判断是推断性的,受内部预测模型的准确性影响.
- 这一框架为metacognitive干预的机制和目标提供了新的见解.
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