Posterior Twins: Distributional Behavioral Simulation for Enterprise Decisions

The paper presents "Posterior Twins," a novel memory-grounded digital-twin approach for enterprise behavioral simulation, which models population responses to decisions as updated distributions. Evaluated on a 226-example benchmark, TL-Twin Alpha achieved the lowest Wasserstein-1 distance of 1.16, indicating superior distributional fidelity, while TL-Twin Delta and TL-Twin Gamma offered balanced accuracy. This framework emphasizes the integration of memory governance, behavioral model routing, and scenario orchestration to enhance the reliability of simulated behaviors for enterprise decision-making.