A Three-Layer Cognitive Network Separating Current Bodily State, Bodily Representation, and Linguistic Representation: A Prospectively Specified and Frozen Simulation Study of Inter-Layer Computational Pathways

Abstract

This preprint presents an evidence-locked three-layer cognitive network that distinguishes current bodily and maintenance state (L3), remembered bodily representation and bodily microsignatures (L2), and linguistic, contextual, label, and problem representation (L1). Direct L1-L3 connections are prohibited, making L2 the model-permitted hinge. The formal campaign comprised 20 fixed cases and 1,110 runs. V2-A, V2-B, and V2-D resolution are the three primary prediction families. V2-D HHI is secondary, V2-E is a secondary mechanism test, and V2-C had no formal execution. Claims are limited to deterministic minimal fixtures and do not establish a model of the human brain, human emotion, consciousness, biological validity, population generalization, or constitutive autonomy. Licenses: source code is MIT; manuscripts, Figures, README, Supplement, data, JSON, CSV, and formal artifacts are CC BY 4.0. The immutable formal-result ZIP SHA-256 is deea0a648f96349e273fbdae1429a5f7e6b287a5e5d17a775a4c4303567fa42c.