wm-simulation 9.1.4

Simulation and replay harnesses for WhiteMagic evaluation and bounty workloads.
Documentation

wm-simulation — Monte Carlo simulation, counterfactual estimation, forecasting, and prediction calibration.

N21: Ports v2's wm-evolution MC suite capabilities for v4:

  • Monte Carlo simulation — Bayesian MC, Quasi-MC, sensitivity analysis
  • Counterfactual estimation — synthetic control projection for causal impact
  • Forecasting — time series forecasting with confidence intervals
  • Prediction calibration — Brier scorecard with the Murphy decomposition
  • Bayesian optimization — GP surrogates + Expected Improvement search
  • Information-theoretic measures — entropy, mutual information

This enables the SelfModel to forecast outcomes, the Dream cycle to simulate counterfactuals, and the Homeostatic loop to simulate action consequences before executing them.