Describing multi-agent interactions as a dynamical system to predict consensus

fatihdin4en · x · 2026-08-20

This blog post details research modeling multi-agent interactions as a dynamical system. A compact statistical mechanics model predicts how communities of LLM agents evolve in binary-opinion settings. It links the emergence of conviction and consensus to a few interaction parameters, showing that incorrect majorities often switch to correct answers on objective questions.

Related event: Stanford's "Physics of Agents": 10,000-Strong LLM Agent Communities Follow Statistical Physics Laws(12 posts)→

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