{
  "id": 1244,
  "url": "https://arxiv.org/abs/2606.10044v2",
  "title": "Business World Model",
  "summary": "World model has emerged as a powerful paradigm in artificial intelligence, enabling agents to represent their environments, predict future states, and evaluate possible actions before acting. However, existing world model approaches have largely been developed for domains such as computer vision, robotics, gaming, and autonomous driving, where the world is primarily visual or physical and governed by relatively stable dynamics. These formulations are not directly applicable to business practice,",
  "authors": "Cecil Pang, Hiroki Sayama",
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-08T18:16:04.000Z",
  "fetched_at": "2026-07-14T14:15:07.845Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/1244",
  "original_url": "https://arxiv.org/abs/2606.10044v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}