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April 4, 20260 citationsOpen Access

Applied ITT - Pre-Emergence: From Imaginary Seed to Conversational Objecthood

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AKArmstrong Knight

Key Points

  • The research aims to develop a theory of language emergence from a pre-emergent state, treating language as a complex, dynamic process.
  • Developed a phase-geometry-based theory of emergence from a pre-emergence vacuum.
  • Applied the framework to language processing, viewing it as an emerging phenomenon.
  • Utilized core concepts like Collapse Tension Substrate and Imaginative Container for modeling.
  • Employed mechanical field simulation techniques for analyzing language development.
  • Proposed a new understanding of language as a dynamic emergence rather than a static system.
  • Demonstrated how characters and words evolve through layers to form conversational constructs.
  • Outlined the mathematical and geometrical principles guiding the language emergence process.

Abstract

Applied ITT - Pre-Emergence: From Imaginary Seed to Conversational Objecthood Armstrong Knight (Sensei Intent Tensor) - intent-tensor-theory.com We present a rigorous, recursive, phase-geometry-based theory of emergence from a pre-emergence vacuum, and apply it to language processing. The framework treats language not as a static symbolic system but as an emergent phenomenon that blooms from raw character-level excitations through ten progressive layers to full conversational objecthood. The theory is anchored at i₀ — a pure imaginary seed with zero real energy but nonzero potential — and unfolds through the Collapse Tension Substrate (CTS) and ICHTB (Imaginative Container for the Collapse of the Tension Bloom) geometry. This is not metaphor. It is a mechanical field simulator where characters, words, and sentences emerge exactly as grid objects emerge in ARC-style problems. Running implementation: intent-tensor-theory.com/applied-itt

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Cite This Study

Armstrong Knight (2026) studied this question.

synapsesocial.com/papers/69d0afb4659487ece0fa5ba6https://doi.org/10.5281/zenodo.19380400
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