Kilgore Field Theory: A Dynamic Framework for Consciousness as Information Differentiation

What holds a conscious-like state together? This study introduces the Kilgore Field Equation (KFE), a nonlinear, noisy field model where continuity emerges when information differentiates within itself. Two complementary formulations (diffusive–reactive and damped-wave) are tested across a structured program (Series A–F), revealing a reproducible continuity threshold (λ*) and a coherent band (ℂ) in parameter space. Stochastic input becomes useful signal through entropy feedback, selecting a finite spectral peak k*, while anisotropic diffusion (even in k) is cleanly separated from advection-driven drift (odd in k). Dispersion fits match theory; robustness holds under grid refinement, seeds, and parameter sweeps. This archive includes run cards, manifests, metrics, and figure sources to regenerate results end-to-end.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-31
DOI
https://doi.org/10.5281/zenodo.17012831
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
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article

Kilgore Field Theory: A Dynamic Framework for Consciousness as Information Differentiation

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Kilgore Field Theory: A Dynamic Framework for Consciousness as Information Differentiation

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Abstract

What holds a conscious-like state together? This study introduces the Kilgore Field Equation (KFE), a nonlinear, noisy field model where continuity emerges when information differentiates within itself. Two complementary formulations (diffusive–reactive and damped-wave) are tested across a structured program (Series A–F), revealing a reproducible continuity threshold (λ*) and a coherent band (ℂ) in parameter space. Stochastic input becomes useful signal through entropy feedback, selecting a finite spectral peak k*, while anisotropic diffusion (even in k) is cleanly separated from advection-driven drift (odd in k). Dispersion fits match theory; robustness holds under grid refinement, seeds, and parameter sweeps. This archive includes run cards, manifests, metrics, and figure sources to regenerate results end-to-end.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 59%
Geochemistry and Geologic Mapping
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