社交网络结构的抽象认知地图有助于自适应性推断
Jae-Young Son1, Apoorva Bhandari1, Oriel FeldmanHall1,2
1Department of Cognitive, Linguistic, and Psychological Sciences, Brown University, Providence, RI 02912.
概括
人们通过将直接关系抽象化为多步连接来创建社交网络的认知地图. 这允许准确的社会推断,即使有关于复杂的社会结构的不完整信息.
科学领域:
- 认知科学 认知科学
- 社会心理学 社会心理学
- 网络科学 网络科学
背景情况:
- 社交导航依赖于理解复杂的社交网络.
- 观察所有关系是不可能的,导致偏见和容易出错的社会知识.
- 现有的社会关系知识往往不完整和不准确.
研究的目的:
- 为社会关系提出一个网络代表理论.
- 解释人们如何从直接观察中学习推断认知图.
- 了解社会认知地图中的系统偏见的好处.
主要方法:
- 社交网络动态的模拟.
- 关于社会推理的实验室实验.
- 对现实世界社交网络数据的分析.
主要成果:
- 人们将直接的社会观察抽象化为多步关系推断 (例如,朋友的朋友).
- 这种抽象能够发现和表示复杂的社交网络结构.
- 该机制支持在友和信任等背景下进行适应性推断.
结论:
- 多步抽象是社会推理的一个基本计算.
- 这个框架统一了对社会行为的经验观察.
- 它提供了复杂环境中社会认知的计算解释.
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