在做复杂决策时估计自我表现
Xiaping Lu1, Carsten Murawski2, Peter Bossaerts3
1Centre for Brain, Mind and Markets, Faculty of Business and Economics, The University of Melbourne, Melbourne, Australia. xiapingl@student.unimelb.edu.au.
Scientific reports
|January 25, 2025
概括
人民的人民的人民.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 超认知,即监测自己心理状态的能力,对于决策至关重要.
- 自我绩效估计 (SPEs) 是元认知的一个关键组成部分,特别是在复杂的任务中.
- 了解SPE如何在复杂决策中形成是一个研究不足的领域.
研究的目的:
- 调查任务难度和反如何影响SPEs在复杂的经济决策中.
- 将复杂的经济决策中的元认知过程与简单的感知决策中的元认知过程进行比较.
- 阐明在认知要求较高的场景中SPE构造的基础机制.
主要方法:
- 参与者从事认知复杂的经济决策和简单的感知决策任务.
- 任务难度和反的存在或不存在被系统地变化.
- 记录和分析了目标绩效和自我绩效估计 (SPEs).
主要成果:
- 在这两种决策类型中,目标绩效受任务难度的影响,而不是反的影响.
- 在复杂的经济决策中,只有在简单的试验中,SPEs在没有反的情况下表现较低.
- 在简单的感知决策中,在轻松和艰难的试验中,SPE在没有反的情况下都较低.
结论:
- 在复杂的经济决策中,对表现的元认知估计在容易和艰难的试验中不同.
- 显然,不同的元认知机制被用来评估不同复杂度的任务中的表现.
- 反对特殊企业的影响取决于任务的复杂性和难度.
关键词:
复杂的决策过程计算复杂性 计算复杂性信心 信心 信心 信心 信心麻袋问题 麻袋问题超认知 (Metacognition) 是一种超认知 (Metacognition) 的方法.感知性决策 感知性决策更多相关视频
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