通过语言主动推理重新思考内在语言
1Department of Psychology, Faculty of Science and Technology, Lancaster University.
Psychological review
|December 4, 2025
概括
内在语言通过改变预期和感官运动数据来增强大脑的预测,减少错误和不确定性. 这种语言主动推理理论解释了语言如何帮助感知和行动控制.
科学领域:
- 认知神经科学 认知神经科学
- 语言学的语言学.
- 计算精神病学是一种计算精神病学.
背景情况:
- 内在语言对认知功能至关重要,但其在预测大脑过程中的确切作用仍在争论中.
- 现有的理论往往解决内在语言的特定功能,没有统一的框架.
研究的目的:
- 介绍并详细阐述语言主动推理理论.
- 提供一个统一的框架来理解内言的多样化功能和机制.
- 提出内在语言如何增强感知和行动的预测处理.
主要方法:
- 理论综合整合了主动推理和语言理论的原则.
- 与预测编码相关的语言属性 (效率,可扩展性,生成性) 的概念分析.
- 框架开发,以解释内在语言在减少预测错误和不确定性方面的作用.
主要成果:
- 内言转化了先前的期望和感官运动预测,以尽量减少预测错误.
- 语言使预测过程能够编码感官体验和解码行动目标.
- 内在的语言根据计算需求和预测错误动态地适应形式和功能.
结论:
- 语言主动推理理论为内在语言的功能,现象学和发展提供了一个统一的解释.
- 该理论通过整合感知,行动和语言来推进基础认知科学.
- 它为未来的研究提供了路线图,产生了可测试的假设和象征性认知的新视角.
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