This theory models a system that autonomously adjusts its operational parameters based on internal state transitions and external feedback. It provides a flexible control architecture useful for evolving AI agents, real-time optimization systems, and adaptive control networks.

A theoretical framework that constructs layered self-resonant structures within complex systems, enabling adaptive learning and signal interpretation through recursive resonance cycles. 多層的な自己共鳴構造を複雑系内部に構築し、再帰的な共鳴サイクルを通じて適応的学習や信号解釈を可能にする理論的枠組み。