Towards a Self-Evolving Social Infrastructure: Hierarchical Error Correction and Observer-Participatory Collapse Mechanisms in Autonomous Physical-Information Foundations

This paper proposes the Autonomous Evolutionary Social Infrastructure System (AESIS), a unified framework that integrates energy storage, information processing, and structural self-healing into a single Physical Computing Foundation. By applying hierarchical error correction inspired by quantum systems and introducing conceptual adiabatic walls, AESIS achieves biological-level resilience against physical and logical failures. Ethical alignment is ensured through an observer-participatory collapse mechanism, requiring human approval for high-impact decisions. The model redefines infrastructure as a self-organizing, adaptive “Social OS” capable of continuous societal evolution.