逻辑数学符号系统处理的神经相关性更像是空间认知的神经相关性,而不是语言处理
Yuannan Li1, Shan Xu2, Jia Liu1
1Tsinghua Laboratory of Brain and Intelligence, Department of Psychological and Cognitive Sciences, Tsinghua University, Beijing 100086, China.
iScience
|April 11, 2025
概括
逻辑数学符号 (LMS) 处理,包括推理和计算,根植于空间认知,而不是语言. 这一发现突出了AI模型缺乏空间理解的局限性.
科学领域:
- 认知神经科学 认知神经科学
- 神经科学是一个神经科学.
- 人工智能的人工智能
背景情况:
- 逻辑数学符号 (LMS) 处理是人类最近的一个认知能力.
- 假设LMS处理来自于自然语言处理 (NLP) 和通过神经回收的空间认知等基本认知系统.
研究的目的:
- 为了研究LMS处理的神经基础.
- 将LMS任务的神经相关物与NLP和空间认知的神经相关物进行比较.
主要方法:
- 神经成像研究的元分析.
- 用于推理,计算和心理编程任务的神经地图的合成.
- 神经激活模式的比较和LMS,NLP和空间认知之间的多变量相似性.
主要成果:
- 与NLP相比,在LMS任务和空间认知之间发现了更大的神经重叠和相似性.
- 层次聚类表明LMS任务在神经层面上无法与空间任务区分.
- 证据支持空间认知作为LMS处理的基础.
结论:
- 空间认知作为逻辑数学符号处理的神经基础.
- 空间和LMS处理之间的固有联系可能解释AI模型的局限性,特别是那些没有明确的空间表示的模型.
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