The Biological Physics Refinement Manifesto: A Systems-Level Framework for Adaptive Resilience and Informational Compression

This working paper presents the Refinement Principle, a systems-level framework for understanding how adaptive systems reduce long-term energetic and informational cost through constraint reorganization. Within this framework, physical laws are interpreted as stabilized, low-dissipation infrastructures—reusable constraints that coherent systems exploit to persist under entropy—rather than as a sufficient ontological host for adaptive behavior. The paper is descriptive and interdisciplinary, drawing on concepts from complex systems theory, biological regulation, and information thermodynamics. It proposes that increases in complexity arise not by violating physical law, but by lowering the cost of obeying it. Refinement is defined as a process in which persistent but resolvable variance (e.g., stress, error, instability) triggers internal reorganization that preserves function while reducing future dissipation. A central feature discussed is the appearance of characteristic efficiency gaps (e.g., a ~1.86× compression or cost-reduction threshold) observed in exploratory simulations and biological rhythm regulation. These values are treated as empirical signatures of structural transition rather than universal constants. Circadian regulation, including the role of the suprachiasmatic nucleus, is used illustratively to ground the framework in real biological systems without overclaiming empirical proof. Metaphorical language (e.g., “biology,” “physics,” “infrastructure,” “refinement”) is used strictly as an explanatory aid at the systems level. No new forces are proposed, no ontological primacy is asserted, and no prescriptive guidance is offered. This record supersedes earlier exploratory drafts by the same author and represents the consolidated, clarified version of the framework, intended as a foundation for further modeling, empirical investigation, and interdisciplinary collaboration.