langevin-dynamics

npx skills add majiayu000/claude-skill-registry --skill langevin-dynamics-plurigrid-asi --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

# langevin-dynamics-skill > Layer 5: SDE-Based Learning Analysis via Langevin Dynamics ## bmorphism Contributions > *"what would it mean to become the Fokker-Planck equation—identity as probability flow?"* > — [bmorphism gist](https://gist.github.com/bmorphism/a02cc1d1431d4e8b847fdc6276bc3614) **Active Inference Connection**: Langevin dynamics is the generative model underlying [Active Inference in String Diagrams](https://arxiv.org/abs/2308.00861) (Tull, Kleiner, Smithe). The gradient descent + noise duality maps to: - **Drift term** (−∇L) → Action: minimizing surprise - **Diffusion term** (√2T dW) → Perception: sampling uncertainty **Philosophical Frame**: bmorphism's question about "becoming the Fokker-Planck equation" points to **identity as probability flow** — the self is not a fixed point but a trajectory through parameter space, converging toward equilibrium while maintaining exploratory uncertainty. **Ergodic Convergence**: For ergodic systems, time averages equal ensemble averages. This is the mathematical foundation for the GF(3) ERGODIC trit — the neutral state that connects BACKFILL (-1) and LIVE (+1) through mixing. **Version**: 1.0.0 **Trit**: 0 (Ergodic - understand

just langevin-solve net=logistic T=0.01 dt=0.01
just langevin-check-gibbs
just langevin-mixing-time
just langevin-discretization-study
just langevin-temperature-sweep
just langevin-verify-colors