{
  "id": 14586,
  "url": "https://arxiv.org/abs/2607.26588v1",
  "title": "Eco3S: Complex Socio-Economic System Simulation via Agent-Based Models",
  "summary": "The rapid development of large language models (LLMs) has renewed interest in agent-based modeling (ABM). However, current LLM-based ABM research faces several key challenges: modeling evolving agent-environment interactions, enabling flexible counterfactual reasoning, and automating simulation workflows for scientific research. In this paper, we propose Eco3S, a socio-economic system simulation framework for economic research and policy analysis that addresses these challenges through three key",
  "authors": "Shaopeng Wei, Yufei Cheng, Wenxi Sun, Yepeng Ding, Yu Zhao, Gang Kou",
  "category": "research",
  "topics": "regulation,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-29T08:09:32.000Z",
  "fetched_at": "2026-07-30T05:10:24.387Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/14586",
  "original_url": "https://arxiv.org/abs/2607.26588v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}