AONA：全球智能体协作的综合架构与工作流设计
AONA: A Comprehensive Architecture and Workflow Design for Global Agentic Collaboration
AI总结：
针对现有互联网缺乏语义感知和去中心化信任机制的问题，提出AONA覆盖网络架构，通过四层逻辑蓝图和分布式节点基础设施，实现跨协议、跨平台的智能体互操作。
摘要：
大型语言模型（LLM）的快速发展已将自主智能体确立为人工智能应用的核心载体。然而，现有主要依赖TCP/IP和DNS的互联网基础设施是为以人为中心的主机到主机数据传输而设计的，本质上缺乏自主智能体交互所需的语义感知、动态能力发现和去中心化信任机制。为了解决这些限制并打破单一供应商的封闭生态系统，本文提出了AONA（智能体覆盖网络架构），一种面向智能体互联网（IoA）的新型覆盖网络架构。我们首先从组织经济学、扩展原则和无序代价的角度，为多智能体协作提供了多学科的科学论证，证明了其相对于单一超级智能体的理论必要性。然后，AONA被构建为四层逻辑蓝图，包括基础层、互连层、协作层和应用层，在不干扰底层物理网络的情况下促进跨协议和跨平台的互操作性。为了物理实现这一蓝图，我们设计了一个分布式节点基础设施，由管理根节点、注册服务节点、发现服务节点和企业智能服务枢纽（用于私有域集成）锚定。最后，我们详细描述了驱动网络的动态操作工作流，包括零信任身份颁发、全局协调的语义分类同步、意图驱动的语义发现以及用于商业结算的可信计量。这一综合架构为全球智能体协作的未来提供了稳健、可扩展且安全的基础。
英文摘要：
The rapid advancement of Large Language Models (LLMs) has established autonomous agents as the core vehicles for artificial intelligence applications. However, existing Internet infrastructures, primarily relying on TCP/IP and DNS, are designed for human-centric, host-to-host data transmission, inherently lacking the semantic awareness, dynamic capability discovery, and decentralized trust mechanisms required for autonomous agent interactions. To address these limitations and break the closed ecosystems of single vendors, this paper proposes AONA (Agentic Overlay Network Architecture), a novel overlay network architecture for the Internet of Agents (IoA). We first provide a multi-disciplinary scientific defense for multi-agent collaboration, demonstrating its theoretical necessity over single super-intelligence through the lenses of organizational economics, scaling principles, and the Price of Anarchy. AONA is then structured as a four-layer logical blueprint comprising the Base, Interconnection, Collaboration, and Application layers, which facilitates cross-protocol and cross-platform interoperability without disrupting the underlying physical network. To physically instantiate this blueprint, we design a distributed node infrastructure anchored by Management Root Nodes, Registry Service Nodes, Discovery Service Nodes, and Enterprise Intelligent Service Hubs for private domain integration. Finally, we detail the dynamic operational workflows-including zero-trust identity issuance, globally coordinated semantic taxonomy synchronization, intent-driven semantic discovery, and trusted metering for commercial settlement-that drive the network. This comprehensive architecture provides a robust, scalable, and secure foundation for the future of global agentic collaboration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
