{
  "id": 1981,
  "url": "https://link.springer.com/article/10.1007/s10462-026-11630-6",
  "title": "Social cognitive architecture for NPC groups: integration of transformer theory of mind and hierarchical reinforcement learning",
  "summary": "Non-Player Characters (NPCs) require social cognition to enable intelligent and interactive behaviours within virtual environments. In gaming and other multi-agent systems, current NPC models often fall short in social intelligence and coordination because they cannot infer or anticipate the mental states of other agents. To address this gap, this paper introduces a novel social cognitive architecture that integrates Hierarchical Reinforcement Learning (HRL) with a Transformer-based Theory of Mi",
  "authors": null,
  "category": "research",
  "topics": "agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-07T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-artificial-intelligence-review",
  "source_name": "Artificial Intelligence Review",
  "source_homepage": "https://link.springer.com/journal/10462",
  "ethics_ai_record_url": "https://ethics.ai/record/1981",
  "original_url": "https://link.springer.com/article/10.1007/s10462-026-11630-6",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}