Parameter-Free Approach to Fundamental Constants

We introduce Recognition Science (RS), a parameter-free foundational framework deriving from the meta-principle that 'nothing cannot recognize itself,' leading to eight principles that generate physical laws. RS unifies information constraints with dynamics, deriving constants like tau_0 = 7.33 fs and phi-scaling without free parameters. As a concrete demonstration of RS's predictive power, we apply this framework to galactic dynamics, showing how finite recognition bandwidth creates modified gravitational effects that reproduce galaxy rotation curves with median chi^2/N = 1.08, eliminating the need for dark matter or ad-hoc modifications. The framework resolves fundamental problems in physics including the measurement problem, parameter fine-tuning, and consciousness emergence through rigorous mathematical derivation from logical necessity alone. All theoretical constructions are verified in machine-checkable proofs using the Lean 4 theorem prover, establishing RS as the complete foundational theory for physical reality.