AXIS Project: Proactive Biological Homeostasis via the ERSA Algorithm

Abstract

Abstract: Biological organisms are open systems operating under rigorous thermodynamic constraints, where homeostatic maintenance requires a constant expenditure of energy to suppress entropic decay. Conventional medical interventions are primarily reactive, acting only after homeostatic collapse exceeds critical thresholds. We introduce the AXIS Project, a cybernetic framework for proactive biological regulation. Central to this initiative is the Entropy-Regulated Stabilization Algorithm (ERSA), which defines a 3D state space composed of physiological age ($A$), information entropy ($S$), and metabolic energy ($E$). By integrating reinforcement learning with Gompertz-Makeham nonlinear dynamics, ERSA identifies system-specific "Golden Setpoints" and preemptively stabilizes the system before metabolic collapse occurs. We demonstrate that ERSA effectively identifies collapse thresholds via explicit state transition modeling, providing an OS-level logic for precision bio-engineering and edge-embedded medical control. Research Context: The AXIS Project addresses the fundamental problem of biological decay through the lens of information thermodynamics, building upon the principles of Information-Entanglement Stabilization (IESA). This framework evaluates the ERSA model not as a physical intervention, but as a high-level software abstraction architecture optimizing multi-objective constraints under finite computational resources. Keywords: AXIS Project; ERSA Algorithm; Information Thermodynamics; Proactive Homeostasis; Gompertz-Makeham Dynamics; Computational Biology; Bio-engineering; Edge-embedded Systems