AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). First posted on arXiv 8 Apr 2026.
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Citing papers per year: 2026: 3.
3 papers.
- 2026The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensuscited by 0
- 2026From Certain Doom to Survival: Agent-Driven Self-Governance in LLM Agent Societiescited by 0
- 2026A Society of Researchers: Designing Institutions for Populations of Autonomous Research Agentscited by 0
- 2026A Society of Researchers: Designing Institutions for Populations of Autonomous Research Agents7 Oct 2026
- 2026From Certain Doom to Survival: Agent-Driven Self-Governance in LLM Agent Societies18 Sep 2026
- 2026The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus18 Apr 2026