Artificial Institutions: How Institutional Design Shapes LLM Simulations
arXiv:2608.04020v1 Announce Type: new Abstract: Artificial societies built from large language model (LLM) agents are becoming a practical research tool in economics, political science, sociology, and computer science. Most attention has focused on the properties of the agents: their prompts, personas, memory, reasoning, and similarity to human subjects. This paper argues that the institutional architecture of a simulation is equally important. I demonstrate the point in a small repeated induced
Record details
Published: 6 August 2026
Source: arXiv cs.CY
Category: Research
Topics: Agents & autonomy
Retrieved: 6 August 2026
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ethics.ai (6 August 2026), “Artificial Institutions: How Institutional Design Shapes LLM Simulations,” evidence record 16637, https://ethics.ai/record/16637 (originally published by arXiv cs.CY).
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