构建可协作的智能体网络，让AI系统像互联网一样协同工作。
The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scale
- 设计开放生态，让不同智能体自主发现、协商与协作。
- 提出跨云边端的智能体工作流框架，支持复杂任务执行。
- 适合研究多智能体系统、AI协同与未来数字基础设施者。
自主智能体的快速兴起正将人工智能从孤立模型推理转变为分布式推理、通信与行动系统。本文提出「智能体互联网」（IoAI）愿景：一个开放生态系统，异构智能体可在其中发现彼此、协商职责、交换上下文、调用工具，并在云、边缘、设备、组织及信息物理环境中执行工作流。论文融合单智能体智能体、多智能体系统、分布式计算、通信网络、博弈论与安全工程的理论基础，刻画大规模智能体生态系统所需架构与机制。重点分析智能体部署模式、工作流生命周期、通信协议、互操作层、资源管理挑战与信任架构，并以自适应制造和分布式运营协调为例开展案例研究。所提出的框架揭示了可控涌现、语义互操作性、安全身份、激励相容协调、资源感知编排及大规模智能体网络治理等核心研究挑战。
原文摘要 · Abstract (English)
The rapid emergence of autonomous AI agents is transforming artificial intelligence from isolated model inference into distributed systems of reasoning, communication, and action. This paper develops the vision of the Internet of Agentic AI (IoAI): an open ecosystem in which heterogeneous agents discover one another, negotiate responsibilities, exchange context, invoke tools, and execute workflows across cloud, edge, device, organizational, and cyber-physical environments. We synthesize foundations from single-agent agentic AI, multi-agent systems, distributed computing, communication networks, game theory, and security engineering to characterize the architectures and mechanisms required for scalable agent ecosystems. The paper examines agent deployment models, workflow lifecycles, communication protocols, interoperability layers, resource-management challenges, and trust architectures, with case studies in adaptive manufacturing and distributed operational coordination. The resulting framework highlights the central research challenges of controlled emergence, semantic interoperability, secure identity, incentive-compatible coordination, resource-aware orchestration, and governance for large-scale networks of autonomous agents.
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