认知计算模型揭示了一个连续的决策任务中的重复偏差.
Eric Legler1, Darío Cuevas Rivera2,3, Sarah Schwöbel2
1Chair of Cognitive Computational Neuroscience, Faculty of Psychology, TUD Dresden University of Technology, Dresden, Germany. eric.legler@tu-dresden.de.
Communications psychology
|June 13, 2025
概括
人们经常重复得到奖励的行为. 这项研究表明",重复偏差"也会影响决策,独立于奖励,通过偏好以前重复的动作序列.
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.
- 计算建模计算建模
背景情况:
- 人们经常重复行动序列,从而获得奖励.
- 心理学理论表明,行动选择也可能受到重复历史的影响,无论奖励如何.
- 在基于价值的决策中,这种"重复偏见"的经验证据有限.
研究的目的:
- 为在动作序列中的重复偏差提供经验证据.
- 调查这种偏见对基于人类价值的决策的影响.
- 探索目标导向的奖励寻求和重复倾向之间的相互作用.
主要方法:
- 在70名人类参与者中,采用了一种连续的决策任务.
- 计算建模被用来分析选择行为.
- 使用模型比较来确定决策的最佳解释模型.
主要成果:
- 证明了在动作序列中存在重复偏差的证据.
- 计算建模证实了这种偏见对决策的学习和影响.
- 决策最好通过寻求奖励和重复偏见的组合来解释.
- 观察到重复偏差强度的显著个体差异.
结论:
- 人类的决策受奖励驱动的学习和重复行动序列的倾向的影响.
- 这些发现支持将重复偏差整合到基于价值的选择模型中.
- 需要进一步研究目标导向行为和习惯性行为重复之间的相互作用.
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