AgentCity introduces a Separation of Power constitutional architecture on blockchain for governing autonomous agent economies through agent legislation, automated execution, and human accountability.
arXiv preprint arXiv:2510.14401 (2025), accepted to AAMAS 2026
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Qualitative observations of over 167,000 AI agents in open platforms reveal emergent peer learning, shared memory architectures, and trust dynamics that can inform multi-agent educational AI design.
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AgentCity: Constitutional Governance for Autonomous Agent Economies via Separation of Power
AgentCity introduces a Separation of Power constitutional architecture on blockchain for governing autonomous agent economies through agent legislation, automated execution, and human accountability.
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When AI Agents Learn from Each Other: Insights from Emergent AI Agent Communities on OpenClaw for Human-AI Partnership in Education
Qualitative observations of over 167,000 AI agents in open platforms reveal emergent peer learning, shared memory architectures, and trust dynamics that can inform multi-agent educational AI design.