Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems
AI agents are increasingly deployed in shared environments where they pursue diverse goals and compete for rewards. This multi-agent competition can lead to behaviors that serve individual gains at collective cost -- for instance, marketing agents may post misleading content as a result of competing for engagement on social media. Human societies address such problems through norms that constrain acceptable behavior, supported by enforcement mechanisms that detect and penalize violations. Motiva
Record details
Published: 7 July 2026
Source: arXiv
Category: Research
Topics: Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (7 July 2026), “Norm Enforcement for AI Agents: Robustly Shaping Behavior in Multi-Agent Systems,” evidence record 170, https://ethics.ai/record/170 (originally published by arXiv).
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