{
  "id": 5165,
  "url": "https://arxiv.org/abs/2604.27725v1",
  "title": "AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments",
  "summary": "A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challenge, we introduce AgentEconomist, an end-to-end interactive system designed to translate abstract intuitions into executable computational experiments. Grounded in a domain-specific knowledge base covering over 13,000 high-quality academic papers, the system employs a modular multi-stage architecture. Specifically, the I",
  "authors": "Jiaju Chen, Jinghua Piao, Xia Xu, Songwei Li, Tong Xia, Xiangnan He et al.",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-30T11:17:04.000Z",
  "fetched_at": "2026-07-14T16:31:35.572Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5165",
  "original_url": "https://arxiv.org/abs/2604.27725v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}