描述多模式语义网络的大规模结构的特征
Raja Marjieh1, Pol van Rijn2, Ilia Sucholutsky3
1Department of Psychology, Princeton University.
Cognitive science
|October 24, 2025
概括
人类语义网络表现出一个小世界结构,反映了环境规律. 由自然主义刺激衍生出来的多式联网,显示出截断的权力-规律分布,与认知过程和词汇网络保持一致.
科学领域:
- 认知科学 认知科学
- 网络科学 网络科学
- 心理语言学 心理语言学
背景情况:
- 人类的语义知识被组织成复杂的网络.
- 现有的词汇网络表明一个小世界和没有规模的结构.
- 环境语义规律与网络结构之间的联系尚不清楚.
研究的目的:
- 研究从自然主义刺激中衍生的语义网络的结构.
- 确定这些网络是否表现出小世界和无尺度属性.
- 评估这些网络对人类认知的预测能力.
主要方法:
- 从四个大型数据集中收集和分析了语义描述符,人类评估和相似性判断.
- 通过连接同时出现的概念来构建多式模拟语义网络.
- 分析了网络属性,包括度分布和路径长度.
主要成果:
- 多模态语义网络表现出一个小世界结构.
- 度分布遵循一个截断的功率定律,而不是一个完美的功率定律.
- 这些网络预测人类的感官判断和词汇决策任务性能.
结论:
- 语义网络的结构受到环境的语义规律的影响.
- 多模态语义网络为理解语义组织提供了一个强大的模型.
- 这些发现挑战了以前关于词汇网络中无尺度属性的假设.
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