
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.
Consciousness, dispersion relation, spectral peak, power spectral density, nonlinear dynamics, pattern formation, convergence study, computational physics, Kilgore Field Equation, advection drift, stochastic PDE, continuity threshold, complex systems, reproducibility, information theory, PSD major-axis angle, Consciousness Field Theory, self-differentiation of information, anisotropic diffusion, entropy feedback, phase velocity, parameter sweeps, coherent band, observer coupling, group velocity, drift stability
Consciousness, dispersion relation, spectral peak, power spectral density, nonlinear dynamics, pattern formation, convergence study, computational physics, Kilgore Field Equation, advection drift, stochastic PDE, continuity threshold, complex systems, reproducibility, information theory, PSD major-axis angle, Consciousness Field Theory, self-differentiation of information, anisotropic diffusion, entropy feedback, phase velocity, parameter sweeps, coherent band, observer coupling, group velocity, drift stability
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