Summary of Constructive Approach to Bidirectional Causation Between Qualia Structure and Language Emergence, by Tadahiro Taniguchi et al.
Constructive Approach to Bidirectional Causation between Qualia Structure and Language Emergence
by Tadahiro Taniguchi, Masafumi Oizumi, Noburo Saji, Takato Horii, Naotsugu Tsuchiya
First submitted to arxiv on: 14 Sep 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This novel perspective explores the interplay between language emergence and subjective experiences, proposing that languages with distributional semantics emerged through aligning internal representations among individuals. The study suggests that this alignment facilitated more structured language, mirroring recent advancements in AI and robotics. Computational studies demonstrate that neural network-based language models form systematic internal representations, while multimodal language models can share representations between language and perception. This perspective highlights the bidirectional causation between language emergence and subjective experiences, emphasizing its implications for consciousness studies, linguistics, and cognitive science. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper explores how language affects our understanding of the world. It suggests that when people communicate using specific patterns or structures, it helps them understand each other’s thoughts and feelings better. The study uses computer models to show how languages can shape our perception of reality. This perspective has implications for how we think about consciousness, language, and even artificial intelligence. |
Keywords
» Artificial intelligence » Alignment » Neural network » Semantics
