{
  "id": 19044,
  "url": "https://arxiv.org/abs/2608.12216v1",
  "title": "\"Pharos Night: Crown Pursuit\": An AI-Native Deck-Building and Tactical Arena Game Design Based on Multi-Agent Systems",
  "summary": "With advancements in generative AI technology, an increasing number of researchers have begun exploring AI-native games in which gameplay rules are directly driven by generative AI. This paper presents \"Pharos Night: Crown Pursuit,\" an AI-native deck-building and tactical arena game based on a multi-agent system. The game uses large language models to generate materials and cards, support NPC decision-making, and mediate natural-language interactions. During play, players collect materials, desc",
  "authors": "Ting-Chen Hsu, Jueyao Liu, Yanzi Zhou, Jiangxu Lin, Haoyu Xu, Yuwen Liu, Yanjia Liu, Bangjing Xu",
  "category": "research",
  "topics": "agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T16:10:03.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/19044",
  "original_url": "https://arxiv.org/abs/2608.12216v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}