Embodied Regulatory Intelligence in Chaotic Physical Systems

This paper investigates Regulatory Intelligence (RI), a viability-first paradigm for synthetic cognition in which agents prioritize internal coherence and restraint over task optimization. The study provides empirical evidence of safe, non-dominant interaction between an artificial cognitive system and a chaotic physical environment. The work presents bidirectional coupling between the SpiralBrain v3.0 neurosymbolic architecture and a two-dimensional incompressible Navier–Stokes fluid dynamics system. Rather than treating the physical system as a control target to be solved or optimized, turbulence is framed as a metacognitive stressor used to evaluate the agent’s ability to maintain homeostasis under…