AI RESEARCH
The PIMMUR Principles: Ensuring Validity in Collective Behavior of LLM Societies
arXiv CS.CL
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ArXi:2509.18052v3 Announce Type: replace Large language models (LLMs) are increasingly deployed to simulate human collective behaviors, yet the methodological rigor of these "AI societies" remains under-explored. Through a systematic audit of 39 recent studies, we identify six pervasive flaws-spanning agent profiles, interaction, memory, control, unawareness, and realism (PIMMUR). Our analysis reveals that 89.7% of studies violate at least one principle, undermining simulation validity.