TDH-CRAH-AI-Σ: A Foundational Transition Framework for Adaptive Causation, Cognitive Organization, and Housekeeping Governance in the CIT-Verse

Description (Abstract) This work presents TDH-CRAH-AI-Σ, a foundational pre-formal framework describing how adaptive informational and cognitive organization emerges through repeated state-to-state transitions within a heterogeneous Combined Intangible and Tangible Verse (CIT-Verse). The framework defines CRAH as a transition-linked mechanism for the reorganization of accumulated causation, AI as artificial intelligence modules operating on informational structures, Σ as the summation of multiple cognitive modules, and Gov as an internal housekeeping system that governs multitasking activity environments among these modules. The framework models how coherent, stable, and optimized system-level behavior can arise without presupposing causal control or centralized authority. This work does not replace existing physical, computational, or cognitive theories; it is disclosed as a foundational systems framework intended to complement them. , Keywords , Foundational theoryState-to-state transitionsAdaptive systemsCognitive architectureHousekeeping governanceCIT-Verse , Version v1.0 , Creative Commons Attribution 4.0 International (CC BY 4.0)