语言与主观体验结构相互塑造,揭示意识与沟通的深层联系
Constructive Approach to Bidirectional Influence between Qualia Structure and Language Emergence
- 提出语言与主观体验结构双向影响的理论框架
- 神经网络模型显示语言具备系统性内部表征
- 适合意识研究、认知科学与具身智能领域学者
本文探讨语言涌现与主观经验关系结构(即质性结构)之间的双向影响,并提出一种构建性方法来解析二者间的复杂依赖。我们假设具有分布语义的语言(如句法-语义结构)的出现与由经验塑造的内部表征协调相关,可能通过相互作用促进更系统的语言形成。这一假说关联到人工智能与符号涌现机器人领域的最新进展,通过集体预测编码等理论框架展开分析。计算研究表明,基于神经网络的语言模型会形成系统性内部表征,多模态语言模型可在语言与感知信息间共享表征。该视角认为语言涌现不仅是交流工具的生成机制,更是实现对质性经验共享理解的途径。论文讨论了这种双向影响在意识研究、语言学与认知科学中的意义,并提出了未来可进一步探索的建构性研究方向。
原文摘要 · Abstract (English)
This perspective paper explores the bidirectional influence between language emergence and the relational structure of subjective experiences, termed qualia structure, and lays out a constructive approach to the intricate dependency between the two. We hypothesize that the emergence of languages with distributional semantics (e.g., syntactic-semantic structures) is linked to the coordination of internal representations shaped by experience, potentially facilitating more structured language through reciprocal influence. This hypothesized mutual dependency connects to recent advancements in AI and symbol emergence robotics, and is explored within this paper through theoretical frameworks such as the collective predictive coding. Computational studies show that neural network-based language models form systematically structured internal representations, and multimodal language models can share representations between language and perceptual information. This perspective suggests that language emergence serves not only as a mechanism creating a communication tool but also as a mechanism for allowing people to realize shared understanding of qualitative experiences. The paper discusses the implications of this bidirectional influence in the context of consciousness studies, linguistics, and cognitive science, and outlines future constructive research directions to further explore this dynamic relationship between language emergence and qualia structure.
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