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AI IntelligenceAug 17, 2026AI Intelligence
Article

Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes

When two LLM agents with structurally opposed objectives interact across multiple turns, the absence of a shared goal function produces not competition but collapse: the visitor capitulates, the site agent stops varying its approach, and the conversation terminates without achieving either agent's stated objective. This paper asks whether a control-theore...

Frontier EditorialSource: arXiv
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Source Brief

Dynamic Governance of Multi-LLM Agent Systems for Collaborative Conversational Outcomes: When two LLM agents with structurally opposed objectives interact across multiple turns, the absence of a shared goal function produces not competition but collapse: the visitor capitulates, the site agent stops varying its approach, and the conversation terminates without achieving either agent's stated objective. This paper asks whether a control-theore...