{
  "id": 16637,
  "url": "https://arxiv.org/abs/2608.04020",
  "title": "Artificial Institutions: How Institutional Design Shapes LLM Simulations",
  "summary": "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",
  "authors": "Maxim Chupilkin",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-06T04:00:00.000Z",
  "fetched_at": "2026-08-06T05:10:11.148Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/16637",
  "original_url": "https://arxiv.org/abs/2608.04020",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}