AI RESEARCH
Multi-Agent Systems are Mixtures of Experts: Who Becomes an Influencer?
arXiv CS.LG
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ArXi:2605.25929v1 Announce Type: cross The effectiveness of multi-agent LLM deliberation depends not only on the agents' individual predictions, but also on how they communicate and collaborate. We study this mechanism through the lens of Friedkin-Johnsen (FJ) opinion dynamics, a tractable model for analyzing stubbornness, influence, and opinion change in multi-agent systems that captures empirically observed deliberation patterns. We show that the FJ parameters are input-dependent, turning multi-agent deliberation into a mixture of experts.