{
  "id": 15866,
  "url": "https://arxiv.org/abs/2607.27201",
  "title": "Mental World Modeling",
  "summary": "World models enable a predictive substrate for planning and action, yet existing formulations merely answer a physical question: what/where it is, and how will it evolve. Human behavior, however, is driven by hidden mental state (what a person believes, wants, intends, feels, and considers socially permissible), so a model that tracks the physical scene but not what each agent knows and believes about it predicts the wrong action for the right-looking scene. We formulate Mental World Modeling (M",
  "authors": "Hao Fei, Yiran Zhao",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-28T20:00:00.000Z",
  "fetched_at": "2026-08-04T05:10:21.797Z",
  "source_slug": "hf-daily",
  "source_name": "HuggingFace Daily Papers",
  "source_homepage": "https://huggingface.co/papers",
  "ethics_ai_record_url": "https://ethics.ai/record/15866",
  "original_url": "https://arxiv.org/abs/2607.27201",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}