区分自我与他人的心理模型:知识评估的层次框架
Aakriti Kumar1, Padhraic Smyth2, Mark Steyvers1
1Department of Cognitive Sciences, University of California, Irvine.
Psychological review
|August 17, 2023
概括
人们使用贝叶斯推理构建他人的知识的心理模型. 最初与自我模型相似,这些模型随着收集更多信息而变得独特,改善合作和沟通.
科学领域:
- 认知科学 认知科学
- 社会心理学 社会心理学
- 人工智能的人工智能
背景情况:
- 准确地对他人的知识进行建模对于有效的沟通和合作至关重要.
- 现有的模型往往缺乏对个人如何区分自我与其他知识的细微理解.
研究的目的:
- 提出和评估一个层次框架,以了解人们如何构建自己和他人知识的心理模型.
- 研究贝叶斯推理在整合自我和其他知识中的作用.
主要方法:
- 一个涉及参与者评估自己和他人在图像分类任务上的表现的实验.
- 将层次框架与简单的自我/其他知识差异化模型进行比较.
- 进行模拟研究以验证框架的解释能力.
主要成果:
- 提出的等级模型准确地预测了参与者的自我和其他绩效评估.
- 最初,自我评估过程对其他人的表现的预测产生了很大的影响.
- 随着越来越多的数据变得可用,对自我和他人出现了不同的心理模型.
结论:
- 层次框架为人类对自我和他人知识评估提供了强有力的解释.
- 贝叶斯推理在更新他人心理模型方面发挥着关键作用.
- 这些发现对人工智能和人机交互有影响.
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