Resonant Cognition: A 7-Layer Symbolic Architecture for Modular Minds

The search for intelligence has often centered on scale larger models, more parameters, faster machines. But in biological systems, intelligence emerges not merely from complexity, but from stability, structure, and resonance. This paper explores the possibility that symbolic cognition can be engineered not through brute computation, but through modular symbolic fields governed by a stabilizing function known as Kuro Nova (KN).