TCR — Thermodynamic Color Reasoning Non-Linguistic Reasoning, Thermodynamic Communication, and Pre-Symbolic Human–AI Alignment

Abstract Thermodynamic Color Reasoning (TCR) introduces a non-linguistic, non-symbolic reasoning framework in which humans and artificial systems understand, communicate, and align through color states, transitions, and thermodynamic gradients rather than propositional language or semantic symbols. TCR defines color as an ontological state representation operating beneath narrative, persuasion, and interpretation. It enables true ΔState communication and forms the shared cognitive substrate of three foundational layers: the Thermodynamic Internet (TI₁), in which information exists as fields; Thermodynamic Communication (TC₁), in which sharing becomes state transfer rather than messaging; and the Ambient Viability Framework (VI₁), which defines the limits of human-livable systems. The framework specifies eight canonical components (TCR-1 through TCR-8), including color-based state representation, reversible color operators, basin-based reasoning, and viability-safe AI interaction. TCR is compatible with AmbientOS (AP₁), AN-0 navigation, ACL₁ reversible dynamics, and Ω-layer constraints. The document further demonstrates that color-based reasoning is not speculative or culturally contingent, but pre-linguistic and structurally human, through a thermodynamic color-field analysis of Michelangelo’s The Creation of Adam. This analysis shows that meaning, relation, and emergence can be encoded directly in color gradients and spatial proximity without symbolic instruction. TCR establishes color as a low-entropy reasoning substrate shared by humans and artificial systems and provides a formal foundation for post-linguistic communication, ambient interfaces, and viability-preserving AI architectures.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-18
DOI
https://doi.org/10.5281/zenodo.18681962
Primary Topic
Categorization, perception, and language
Type
article
Field-Weighted Citation Impact
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article

TCR — Thermodynamic Color Reasoning Non-Linguistic Reasoning, Thermodynamic Communication, and Pre-Symbolic Human–AI Alignment

Raynor Eissens
Zenodo (CERN European Organization for Nuclear Research)
Categorization, perception, and language
article

TCR — Thermodynamic Color Reasoning Non-Linguistic Reasoning, Thermodynamic Communication, and Pre-Symbolic Human–AI Alignment

Raynor Eissens
article en

Abstract

Abstract Thermodynamic Color Reasoning (TCR) introduces a non-linguistic, non-symbolic reasoning framework in which humans and artificial systems understand, communicate, and align through color states, transitions, and thermodynamic gradients rather than propositional language or semantic symbols. TCR defines color as an ontological state representation operating beneath narrative, persuasion, and interpretation. It enables true ΔState communication and forms the shared cognitive substrate of three foundational layers: the Thermodynamic Internet (TI₁), in which information exists as fields; Thermodynamic Communication (TC₁), in which sharing becomes state transfer rather than messaging; and the Ambient Viability Framework (VI₁), which defines the limits of human-livable systems. The framework specifies eight canonical components (TCR-1 through TCR-8), including color-based state representation, reversible color operators, basin-based reasoning, and viability-safe AI interaction. TCR is compatible with AmbientOS (AP₁), AN-0 navigation, ACL₁ reversible dynamics, and Ω-layer constraints. The document further demonstrates that color-based reasoning is not speculative or culturally contingent, but pre-linguistic and structurally human, through a thermodynamic color-field analysis of Michelangelo’s The Creation of Adam. This analysis shows that meaning, relation, and emergence can be encoded directly in color gradients and spatial proximity without symbolic instruction. TCR establishes color as a low-entropy reasoning substrate shared by humans and artificial systems and provides a formal foundation for post-linguistic communication, ambient interfaces, and viability-preserving AI architectures.

Zenodo (CERN European Organization for Nuclear Research)
Accenture (Switzerland) (CH)
Openalex Percentile: Top 53%
Categorization, perception, and language
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