Theoretical model uncovers a layered architecture of causal control in physical systems, suggesting operational agency functions independently of metaphysical determinism.
Key Points
To resolve the dilemma between determinism and randomness by separating metaphysical free will from operational, causal control through a layered physical architecture.
Formulated a layered operational framework integrating internal policy selection, state transition laws, interventional contrasts, and memory records.
Evaluated the model against empirical neuroscientific and physical constraints, including readiness potentials, neural noise, and bioelectric or quantum mechanisms.
Demonstrates that agent steering is a measurable effect of physical policies on lower-level dynamics rather than immaterial downward causation.
Shows that stochastic slack is neither necessary nor sufficient for operational agency, supporting both compatibilist and libertarian interpretations depending on foundational assumptions.