A Science of Cooperation Infrastructure: Enabling Rational Cooperation Among LLM Agents
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Designers of multi-agent systems need to know which infrastructure choices can support mutually beneficial outcomes between AI agents. Cooperative AI PhD Fellow Emanuel Tewolde introduces CoopEval, a framework for comparing cooperation mechanisms in practice, and outlines a broader research agenda for understanding when and why they work.