Emergent Free Will: A Global Simulation of Branching Dynamics and Choice Autonomy

This study presents a large-scale global simulation exploring how free will-like behavior can emerge from non-deterministic, feedback-driven agent dynamics. The model incorporates branching pathways, self-reference conditions, state indeterminacy rules, and stochastic-choice coupling to investigate whether coherent autonomy can arise without predefined decision structures. Across 131,072 possible states, the system spontaneously formed a stable 60-node attractor exhibiting strong causal density, non-deterministic signature patterns, and persistent branch separation. These results suggest that free will may arise not from randomness or determinism alone, but from the interaction between stochastic fields and emergent global structure. The findings provide a computational lens for examining philosophical and scientific questions surrounding consciousness, autonomy, and agent-based decision landscapes.