{
  "id": 5159,
  "url": "https://arxiv.org/abs/2604.27942v1",
  "title": "A Collective Variational Principle Unifying Bayesian Inference, Game Theory, and Thermodynamics",
  "summary": "Collective intelligence emerges across biological, physical, and artificial systems without central coordination, yet a unifying principle governing such behaviour remains elusive. The Free Energy Principle explains how individual agents adapt through variational inference, while game theory formalises strategic interactions. Here we introduce the Game-Theoretic Free Energy Principle, a unified framework showing that multi-agent systems performing local free-energy minimisation implicitly implem",
  "authors": "Djamel Bouchaffra, Faycal Ykhlef, Mustapha Lebbah, Hanane Azzag",
  "category": "research",
  "topics": "agents-autonomy,environment,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-30T14:42:23.000Z",
  "fetched_at": "2026-07-14T16:31:31.213Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5159",
  "original_url": "https://arxiv.org/abs/2604.27942v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}