Interchain Network Nodology

This monograph establishes Interchain Network Nodology as a foundational interdisciplinary field-a systematic theoretical framework that reorients the study of distributed networks from the "chain" to the node as the first-order concept. It argues that the essence of a distributed network is not its chain structure but its nodes; the value of a node lies not in consensus participation but in functional capacity. This paradigm shift enables a comprehensive architecture for the human-AI symbiotic digital society.The work defines the node as a tripartite unity-technical (an independent unit with computing, storage, and communication capabilities), functional (a bearer of specific roles and tasks, dynamically switching via a 256-bit Function Mask), and governance (a subject with digital identity, permissions, and accountability). It introduces the Digital Omnipotent Identity Name (DOID) , a structured identifier embedding public-key infrastructure, Function Mask, and Relationship Mask-the latter encoding guardianship, agency, contract, and collaboration as machine-executable rules, realizing programmable trust.A comprehensive typology organizes forty-six node types across seven functional categories: Identity and Agency; Regulatory and Governance; AI and Professional Services; Asset and Finance; Commercial and Collaboration; and Infrastructure. The ten-layer protocol stack (L1-L10) provides end-to-end architectural coverage-from physical anchoring in blockchain and space-based communication, through cryptographic and relational logic, to business context and actor ecology. This stack is unified by the Elastic Chain design philosophy, enabling operation in disconnected, high-latency, or adversarial environments.The monograph pioneers the treatment of AI agents as first-class trust subjects through a Functional Identity Framework that separates operational identity from legal responsibility, supported by the Clear Box Principle (verifiable inference logs) and a decentralized algorithmic insurance pool. It also introduces the dual-entropy economic model-Trust Entropy and Intelligence Entropy-to explain how converging zero-marginal-cost trust and intelligence fundamentally restructures production, value creation, and accountability.Beyond technical architecture, the work provides a full legal and compliance framework-distinguishing Strong Legal Effect Nodes from Auxiliary Nodes, embedding compliance-by-design through Regulatory Oracles, and addressing cross-border jurisdictional challenges. It develops comprehensive business models, including service pricing, tokenomics (45% node service payments, 25% governance staking, 15% protocol fees with deflationary burn), and incentive mechanisms.The 3.0 edition introduces critical self-reflection: systematic analysis of "implicit centralization" within the node-centric paradigm, a dedicated study of distributed-system failures as sources of negative knowledge, and intergenerational equity as an ethical design principle-including Future Generations Guardians, Intergenerational Impact Assessments, and a Future Generations Fund.An implementation roadmap progresses from vertical domain pilots (cross-border payments, government services, supply chains, maritime/aviation cloud black boxes) through cross-domain alliances to global infrastructure, culminating in a Human-AI Symbiotic Trust Operating System with interplanetary capability.The monograph concludes that Interchain Network Nodology is the TCP/IP of digital identity and human-AI mutual trust-a layered, open, universal protocol stack building the foundational trust infrastructure for the coming digital civilization. Its ultimate vision is an autonomous, trustworthy, interconnected, and inclusive digital society realizing the ideal of Human-led, AI-executed, jointly governed, and mutually accountable coexistence.