在停止规则中模拟速度-准确性权衡对于信任判断的停止规则
Stef Herregods1, Pierre Le Denmat1, Luc Vermeylen1
1Research Unit Brain and Cognition, Leuven Brain Institute, Katholieke Universiteit Leuven.
Psychological review
|December 8, 2025
概括
决策信心和准确性共享一个共同的证据积累机制. 一个新的灵活的信任边界模型最好地解释了信任判断如何停止,显示了对边界高度的战略控制.
科学领域:
- 认知神经科学 认知神经科学
- 计算神经科学是一种神经科学.
- 决策科学 决策科学 决策科学
背景情况:
- 决策和信任报告通常通过证据积累模型来解释.
- 对于信任至关重要的决策后证据积累的停止规则仍然不详细说明.
- 现有的模型很难充分考虑信任判断的动态.
研究的目的:
- 为了在证据积累框架内比较五个突出的信心模型.
- 调查决定后证据积累的停止规则.
- 检查速度准确性指令如何影响决策和信心边界.
主要方法:
- 收集了来自两个实验的行为数据,具有不同的决策和信心速度-准确性指令.
- 从数量和质量上比较了五种证据积累的信心模型.
- 提出并测试了一种新的灵活的信任边界模型.
主要成果:
- 灵活的信任边界模型提供了对实验数据的最佳解释.
- 决策速度-准确性指令调制决策边界高度.
- 信任判断速度-准确性指令调制的信任边界高度.
- 决策后的证据积累到极限,解释了信任判断停止规则.
结论:
- 信心判断,就像决策一样,可以作为一个积累到结合的过程来建模.
- 信任边界的高度是基于任务需求的战略控制.
- 灵活的信任边界模型为信任报告提供了更完整的解释.
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