Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence
<|reference_start|>Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence: This paper presents a novel perspective on the bidirectional causation between language emergence and relational structure of subjective experiences, termed qualia structure, and lays out the constructive approach to the intricate dependency between the two. We hypothesize that languages with distributional semantics, e.g., syntactic-semantic structures, may have emerged through the process of aligning internal representations among individuals, and such alignment of internal representations facilitates more structured language. This mutual dependency is suggested by the recent advancements in AI and symbol emergence robotics, and collective predictive coding (CPC) hypothesis, in particular. 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 causation 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.<|reference_end|>
@article{taniguchi2024constructive,
    title={Constructive Approach to Bidirectional Causation between Qualia
  Structure and Language Emergence},
    author={Tadahiro Taniguchi, Masafumi Oizumi, Noburo Saji, Takato Horii,
  Naotsugu Tsuchiya},
    journal={arXiv preprint arXiv:2409.09413},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.09413},
    primaryClass={cs.CL cs.AI}
}