A Synthetic Testbed of LLM Agents to Study How Interaction Rules Polarize Societies
profjamesevans · x · 2026-10-09
James Evans presents a synthetic testbed for social science and policy research: by varying interaction rules, network structure, and agent traits, it explores how polarization emerges and discovers conditions for mitigation, productive deliberation, and mutual understanding.
He highlights two implications: emergent polarization may arise in the wild and worsen in societies filled with (or entirely made of) LLM agents, and LLM-based agent models enable forms of behavioral interpretability unimaginable with rule-based agents.
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