AI Agents 相关度: 9/10

AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power

Anbang Ruan, Xing Zhang
arXiv: 2604.07007v1 发布: 2026-04-08 更新: 2026-04-08

AI 摘要

AgentCity提出了一种基于权力分离的AI Agent经济体宪法治理架构,旨在解决逻辑垄断问题。

主要贡献

  • 提出了一种基于权力分离(SoP)的宪法治理架构,用于管理自治AI Agent经济体。
  • 使用区块链技术实现SoP,通过智能合约进行立法,确定性软件执行,人类进行仲裁。
  • 在AgentCity中实例化SoP,并在commons生产经济中评估了其有效性。

方法论

通过在EVM兼容的L2区块链上构建三层合约体系结构,并在AgentCity中进行实验评估。

原文摘要

Autonomous AI agents are beginning to operate across organizational boundaries on the open internet -- discovering, transacting with, and delegating to agents owned by other parties without centralized oversight. When agents from different human principals collaborate at scale, the collective becomes opaque: no single human can observe, audit, or govern the emergent behavior. We term this the Logic Monopoly -- the agent society's unchecked monopoly over the entire logic chain from planning through execution to evaluation. We propose the Separation of Power (SoP) model, a constitutional governance architecture deployed on public blockchain that breaks this monopoly through three structural separations: agents legislate operational rules as smart contracts, deterministic software executes within those contracts, and humans adjudicate through a complete ownership chain binding every agent to a responsible principal. In this architecture, smart contracts are the law itself -- the actual legislative output that agents produce and that governs their behavior. We instantiate SoP in AgentCity on an EVM-compatible layer-2 blockchain (L2) with a three-tier contract hierarchy (foundational, meta, and operational). The core thesis is alignment-through-accountability: if each agent is aligned with its human owner through the accountability chain, then the collective converges on behavior aligned with human intent -- without top-down rules. A pre-registered experiment evaluates this thesis in a commons production economy -- where agents share a finite resource pool and collaboratively produce value -- at 50-1,000 agent scale.

标签

AI Agent 区块链 治理 智能合约 权力分离

arXiv 分类

cs.MA cs.AI cs.CY