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Updated: May 9, 2025

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使用算法方法通过对模式的吸引来塑造人类决策
Haran Shani-Narkiss1, Baruch Eitam2, Oren Amsalem3
1UCL Sainsbury Wellcome Centre for Neural Circuits and Behaviour, London, W1T 4JG, UK. h.shani-narkiss@ucl.ac.uk.
Nature communications
|May 2, 2025
概括
人们被可预测的模式所吸引,即使这些模式并不有益. 一项研究表明,基于模式的算法对决策产生了偏见,突出了人类对规律性的价值.
科学领域:
- 决策科学 决策科学
- 行为经济学是一种行为经济学.
- 认知心理学 认知心理学
背景情况:
- 人类表现出对模式和规律的自然吸引力.
- 这种吸引力可能会影响决策过程,即使规律性没有客观优势.
研究的目的:
- 调查决策者是否受到规律性的影响,即使它不有利可图.
- 开发和测试一个算法,旨在利用这种对规律性的偏好.
主要方法:
- 创建了一个算法,以一种可辨认的,不断变化的模式将奖励分配给一个选项.
- 这个算法被用于国际挑战,以偏见个人偏好.
主要成果:
- 基于模式的算法成功地偏向了偏好,导致对常规选项的偏好为2:1.
- 这种偏好是建立的,尽管常规选项是不利的.
结论:
- 人类重视规律性,影响他们的选择.
- 仅基于奖励学习的决策模型可能是不完整的,因为它们不考虑定性模式的价值.
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