Mapping Human Anti-collusion Mechanisms to Multi-agent AI Systems

In three linesarXiv paper developing a taxonomy of human anti-collusion mechanisms (sanctions, leniency & whistleblowing, monitoring & auditing, market design, governance) and mapping them to multi-agent AI systems. Highlights open challenges: attribution of emergent coordination, agent identity fluidity, boundary between beneficial cooperation and harmful collusion, adversarial adaptation.

Summary generated by Claude — human-verified