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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Gradient-flow comment and modified dynamics

For fixed coherence and free energy, the Ω derivative of the displayed objective is 2(Ω−Ω*). The body multiplies its negative by a rate and Ω(1−Ω), then adds further coherence and free-energy terms. These modifications mean it is not simply the Euclidean negative…

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gh-eq-f3cd5fb19690b043source-comment-equation
Gradientflow:dΩ/dt=−∇V(Ω)Gradient flow: dΩ/dt = -∇V(Ω)

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For fixed coherence and free energy, the Ω derivative of the displayed objective is 2(Ω−Ω*). The body multiplies its negative by a rate and Ω(1−Ω), then adds further coherence and free-energy terms. These modifications mean it is not simply the Euclidean negative gradient of the displayed V, so monotonic decrease needs a separate calculation.

Terms & definitions

TermMeaning in this source
Omega

State variable

V

Candidate objective

Omega_star

Target value

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Original context

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    }

    // dV/dt = (V(t) - V(t-1))/dt
    inline double lyapunov_derivative(double v_curr, double v_prev, double dt = 0.1) {
        return (v_curr - v_prev) / dt;
    }

    // Gradient flow: dΩ/dt = -∇V(Ω)
    inline double gradient_flow(double omega, double coherence, double free_energy) {
        double grad_omega = 2.0 * (omega - TARGET_OMEGA);
        double flow = -GRADIENT_ETA * grad_omega * omega * (1.0 - omega);
        double coh_term = 0.001 * (1.0 - coherence);
        double fe_term = 0.0005 * free_energy;
        return flow + coh_term - fe_term;
    }

    // Check Lipschitz continuity
    inline bool check_lipschitz(double fx, double fy, double x, double y, double L = LIPSCHITZ_BOUND) {
Exact original notation
Gradient flow: dΩ/dt = -∇V(Ω)

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Sources & provenance

01
Unified C++ seven-layer transition pipeline
Lines 447–447 · 33aa84f2aa61
02
Unified C++ seven-layer transition pipeline
Lines 447–447 · 33aa84f2aa61

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