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| Format: | Recurso digital |
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| Udgivet: |
Zenodo
2025
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| Fag: | |
| Online adgang: | https://doi.org/10.5281/zenodo.17877672 |
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Indholdsfortegnelse:
- <p>Thought often emerges not as discrete tokens but as diffuse semantic particles that condense, align, and collapse into coherent meaning. This paper proposes Dynamic Unified Semantic Topology (D.U.S.T.), a conceptual framework describing how pre-linguistic semantic fields form, reorganize, and crystallize into language in both human cognition and artificial neural systems.<br>D.U.S.T. identifies seven stages—micro-spark activation, flow-pattern formation, semantic-field consolidation, token reassembly, image compression, conscious collapse, and background computation — highlighting structural parallels between intuitive human thought and the latent dynamics of large language models.<br>We integrate the framework with the Unified Phase Field (UPF) theory, interpreting semantic alignment as a form of resonance and insight as a collapse transition within a high-density meaning zone.<br>Although speculative, the model suggests a shared topology of cognition across biological and artificial substrates.<br>We outline potential avenues for empirical, computational, and phenomenological investigation, proposing D.U.S.T. as a foundation for understanding how meaning forms before words—in both minds and machines.</p>