A Unified Generative Architecture Underlying Foundational Theories Across Physics, Biology, Cognition, Computation, and Metaphysics

This paper presents a minimal generative architecture that unifies the structural insights underlying major theories across physics, biology, cognition, computation, metaphysics, and social systems. Rather than proposing a new domain‑specific model, the framework identifies three operator‑level components—relational primitives, generative transformations, and constraint architectures—that recur across independent intellectual traditions. The analysis shows that many foundational theories, despite their differences in method and scope, converge on the same structural pattern: complex organization arises from iterative relational processes shaped by boundary conditions that preserve coherence while enabling novelty. By formalizing this pattern as a unified generative architecture, the paper provides a domain‑neutral mechanism capable of expressing the deep structural continuity observed across historical and contemporary research. The result is a concise operator‑level account of how ordered patterns emerge in natural, cognitive, computational, and social systems.