压力下的战略推理:在更高层次的思想理论中测试启发式推理
1University of Michigan, Department of Psychology, Cognition and Cognitive Neuroscience, 530 Church Street, Ann Arbor, MI 48109-1043, USA.
Cognition
|October 11, 2025
概括
当高阶的思维理论 (ToM+) 推理过于困难时,人们会使用概率启发式启发式,而不是复杂的计算. 这揭示了认知压力如何影响社会推断和决策.
科学领域:
- 认知心理学 认知心理学
- 社会神经科学是一种社会神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 高阶思维理论 (ToM+) 对于复杂的社会互动至关重要.
- ToM+涉及对他人的想法进行递归思维,这在认知上要求很高.
- 了解个人如何在认知负载下管理ToM+是必不可少的.
研究的目的:
- 调查个人如何在ToM+推理超出认知极限时接近未来状态.
- 将"失明"模型与认知应对策略的概率平均模型进行比较.
- 阐明在认知紧张的社会推理中使用的启发式.
主要方法:
- 一个新的在线平台,道德游戏,被利用.
- 参与者参与了32场时间紧迫的顺序选择游戏.
- 分析的重点是错误,以推断在认知压力下推理策略.
主要成果:
- 参与者错误始终支持概率模型,而不是"失明"模型.
- 个人使用概率启发式启发式来近似未来状态.
- 当认知极限被达到时,明确的递归推理不是主要的策略.
结论:
- 当精确的ToM+推理是不可行的时,个人使用概率启发式启发式.
- 这些发现澄清了在认知压力下使用的心理快捷方式.
- 为建模复杂的社会推理和ToM+限制提供了一个框架.
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