認知拓撲相變理論(CTPT)v2.0: 認知結構動力學的形式化框架

Cognitive Topological Phase Transition Theory (CTPT) v2.0 This work presents Cognitive Topological Phase Transition Theory (CTPT) v2.0, a substrate-independent theoretical framework for describing the structural dynamics of cognitive systems. The theory aims to formally characterize insight formation, topological phase transitions of cognition, and the multi-scale integration of consciousness through a minimal closed variable set (V_min = {Φ, β₁, I_g, R, K}) and a seven-layer topological architecture (L1–L7). This record contains the core master document together with the complete layer series (L1–L7) provided as a bundled archive. The master document introduces the theoretical foundation of CTPT, including four core postulates, the definition of minimal and extended variable sets, and a tri-granularity determination system (Levels A–C) for identifying insight events. The seven sub-documents provide the detailed theoretical structure of each layer, including mathematical formulations, experimental metric designs, and structural analyses associated with the layered architecture. This framework is released as an open theoretical proposal intended to encourage discussion, critique, and comparative analysis across cognitive science, artificial intelligence, and related disciplines. Constructive feedback and alternative formulations are explicitly welcomed. The English (en) edition is available as an independent Zenodo record:https://doi.org/10.5281/zenodo.18857207 --- 認知拓撲相變理論(CTPT)v2.0 本文提出認知拓撲相變理論(Cognitive Topological Phase Transition Theory, CTPT)v2.0,一個以**基底無關(substrate-independent)**為設計原則的理論框架,用於描述認知系統的結構動力學。 本理論透過最小封閉變數集 V_min = {Φ, β₁, I_g, R, K} 與七層拓撲架構(L1–L7),正式刻劃洞見形成、認知拓撲相變,以及意識的多尺度整合機制。 本 Zenodo 記錄包含核心**總章文件(master document)**以及完整的七層子文件系列(L1–L7),並以壓縮檔形式提供。總章文件建立 CTPT 的理論基礎,包括四項核心公設、最小與擴展變數集的定義,以及用於辨識洞見事件的三層粒度判定系統(Levels A–C)。七份子文件則分別對各層架構提供完整的數學表述、實驗量測指標設計與結構分析。 本框架以**開放理論提案(open theoretical proposal)**形式發佈,旨在促進認知科學、人工智慧與相關領域之間的討論、批評與比較分析。對於理論架構的建設性回饋與替代性表述,作者均表示歡迎。 CTPT v2.0 的英文版(en)已作為獨立 Zenodo 記錄發佈:https://doi.org/10.5281/zenodo.18857207