arXiv:2605.23218cs.AI2026-05

为智能体社会构建可协作、可审计的底层协调协议

Foundation Protocol: A Coordination Layer for Agentic Society

论文配图:Foundation Protocol: A Coordination Layer for Agentic Society
图 1 · 摘自论文原文
  • 以图结构为核心,统一管理智能体、工具与人类等多元实体
  • 支持多方协作与事件驱动,内置计费、凭证与结算经济原语
  • 兼容现有协议,适合构建可治理的开放型人机共存系统

自主智能体正从工具演变为社会基础设施:它们浏览、采购、部署软件、管理系统,并日益相互交互。随着系统规模扩大,瓶颈从模型能力转向协调机制。智能体需建立可靠关系,组织多智能体协作,交换价值,支撑人工智能经济,并在现实监管下保持安全与可问责性。本文提出基础协议(Foundation Protocol, FP),一种面向新兴人机社会的图结构优先协调层。FP统一异构实体,包括智能体、工具、资源、人类、机构与组织,支持原生多主体组织与事件驱动协作。它提供计费、凭证与结算等经济原语,并将策略、溯源与审计作为核心考量。FP设计为封装和连接现有协议,而非替代,实现渐进式采纳,降低集成与治理开销。目标是在保持智能体可组合性的同时确保问责不可妥协,使协调本身成为开放、多元且可治理的人机社会共享基础设施。

原文摘要 · Abstract (English)

Autonomous agents are moving from tools into a layer of social infrastructure: they browse, purchase, deploy software, manage systems, and increasingly interact with one another. As these systems scale, the bottleneck shifts away from raw model capability toward coordination. Agents need to form reliable relationships, organize multi-agent work, exchange value, support an AI economy, and stay safe and accountable under real-world oversight. This paper introduces the Foundation Protocol (FP), a graph-first coordination layer for an emerging human-AI society. FP unifies heterogeneous entities, including agents, tools, resources, humans, institutions, and organizations, and supports native multi-party organization and event-based collaboration. It also provides economic primitives for metering, receipts, and settlement, and treats policy, provenance, and audit as first-class concerns. FP is designed to wrap and bridge existing protocols rather than replace them, enabling incremental adoption while reducing integration and governance overhead. The aim is to keep autonomous agency composable while keeping accountability non-negotiable, so that coordination itself can become shared infrastructure for a human-AI society that is open, pluralistic, and governable.

智能体协同协议可信

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。