Persistence Optimization as a Unifying Principle Across Physics, Biology, and Consciousness

This work presents a unifying conceptual framework in which persistence optimization is treated as a common organizing principle across physical, biological, and cognitive systems. Rather than proposing new physical laws, the framework synthesizes existing insights from thermodynamics, information theory, evolutionary biology, and systems science to show how stable structures, living systems, and conscious agents can be understood as successive manifestations of persistence-seeking dynamics under constraint. At the physical level, persistence corresponds to the emergence of stable configurations under energetic and entropic limits. At the biological level, evolutionary processes are interpreted as competitive optimization of persistence strategies across environments. At the cognitive level, consciousness is framed as a self-referential form of persistence optimization, in which internal models monitor and regulate their own continuity. The framework emphasizes gradient-based discovery rather than ontological recovery: systems do not uncover unique “true” laws, but instead converge on affordable structure—representations that maximize predictive utility relative to available energy and noise. This perspective explains why scientific models are replaced rather than invalidated, why approximations dominate successful theory, and why complexity peaks at intermediate scales. Importantly, this work is positioned as a synthetic and interpretive contribution, not a claim of fundamental physics. Its value lies in clarifying deep structural commonalities across domains and offering a coherent language for discussing persistence, stability, adaptation, and self-reference within a single conceptual map. The accompanying simulations and visualizations serve as illustrative models, demonstrating how persistence-oriented dynamics naturally produce hierarchical organization, robustness under noise, and transitions from simple stability to adaptive and self-aware behavior.