在人类预测中对顺序效应的资源理性考虑
Arthur Prat-Carrabin1,2, Florent Meyniel3,4, Rava Azeredo da Silveira2,5,6
1Department of Economics, Columbia University, New York, United States.
eLife
|January 15, 2024
概括
人类预测因认知约束而偏离最佳贝叶斯过程,而不是环境假设. 这种昂贵的推理模型解释了顺序效应研究中观察到的波动预测和偏差.
科学领域:
- 认知科学 认知科学
- 计算神经科学是一种神经科学.
- 决策 决策 决策 决策
背景情况:
- 人类预测中的顺序效应偏离了最佳的贝叶斯推理.
- 现有的解释将这些偏差归因于环境非静止性的假设.
- 这项研究提出了根植于认知约束的替代解释.
研究的目的:
- 提出和测试一个成本高昂的推理框架,以解释次优人类预测.
- 要区分两类认知约束:精度成本和预测能力.
- 在顺序预测任务中,将模型预测与人类行为进行比较.
主要方法:
- 开发了两类昂贵的推理模型:精确性-成本和预测能力.
- 使用静态二进制随机刺激 (概率为0.05-0.95) 进行预测任务.
- 分析了人类预测中的连续效应,包括吸引力和排斥力.
主要成果:
- 人类预测波动,并显示了对最近刺激 (吸引力效应) 的偏见,与这两种模型一致.
- 只有精确性成本模型准确地重现了排斥效应,即遥远的过去刺激偏离了预测.
- 实验结果显示了顺序效应的系统调节.
结论:
- 非最佳和波动的人类预测来自于在认知约束下合理的决策.
- 精确性成本模型更好地解释了观察到的顺序效应,包括排斥效应.
- 昂贵的推理为环境非静止性假设提供了一个可行的替代方案,用于解释预测偏差.
关键词:
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