Self-Establishment Through Operator Interactions in LMT Dynamics v2.0— A Philosophical Inquiry Centered on the Consistency Attractor in the Observer Layer —

Load Minimization Theory (LMT) Dynamics v2.0 provides a four-layer operator framework (Base, Meta, Observer, Narrative) that minimizes total load L = U + F + E (uncertainty + friction + energy cost) and leads to An-soku equilibrium. This paper philosophically extends the numerical validation of LMT, demonstrating that the interactions among these operators constitute the essential process by which humans establish a stable “individual self” (個). In particular, the Consistency Attractor in the Observer Layer transforms external interactions from threats into forces that sharpen the self. LMT is not merely an engineering model for AI systems; it offers a philosophical protocol for modern individuals suffering from high load (L ≫ 0) to reclaim “being oneself” through meta-observation and attractor convergence.