为什么概念是 (可能) 矢量
Steven T Piantadosi1, Dyana C Y Muller2, Joshua S Rule3
1Department of Psychology, University of California, Berkeley, CA, USA; Department of Neuroscience, University of California, Berkeley, CA, USA.
Trends in cognitive sciences
|August 7, 2024
概括
矢量表示提供了一个统一的方法来理解人类的概念,容纳不同的认知功能. 大型语言模型和矢量符号架构的进步证明了它们对神经编码的潜力.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 人工智能的人工智能
背景情况:
- 关于人类概念表示的性质的辩论.
- 对表示的要求,以支持各种认知计算 (相似性,分类,关系).
- 对表示的需要,以使理论发展和程序知识.
研究的目的:
- 为基于矢量表示作为人类概念的统一描述辩论.
- 要突出向量表示与神经架构的兼容性.
- 讨论最近支持这一观点的进展.
主要方法:
- 在认知科学中对表示要求的概念分析.
- 综述大型语言模型 (LLM) 最近的进展.
- 对矢量符号架构 (VSA) 的检查.
主要成果:
- 矢量表示可以解释广泛的认知属性 (相似性,特征,类别,定义,关系).
- 矢量表示支持复杂的认知过程,如理论开发和临时分类.
- 最近的LLM和VSA展示了基于矢量符号计算的实际实现.
结论:
- 基于矢量的表示为人类概念提供了一个引人注目的,神经可信的模型.
- 新兴的人工智能技术验证了符号处理和认知建模的矢量力量.
- 这种方法将不同的认知功能统一在一个单一的表示框架下.
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