This invention discloses a decision-making method and
system based on social dynamics evolution and
hybrid reinforcement calibration. It generates a massive number of heterogeneous intelligent agents with independent cognitive architectures, drives their "
perception-
cognition-decision" cycle using a large
language model, introduces a scale-free network-based social dynamics model to simulate the nonlinear propagation of information and opinion polarization in strong and weak relationship networks, and uses a Bayesian structural equation model with sparse anchor data to perform posterior calibration of the
simulation system. This invention can perform minute-level and full-scale rehearsals for
macro-strategy deployment or micro-target testing, accurately capturing emergent group behavior.