{
  "id": 208,
  "url": "https://arxiv.org/abs/2607.04710v1",
  "title": "Integrated Altruistic and Fairness Preference Induces Advanced Mutual Cooperation in Sequential Social Dilemmas",
  "summary": "Inducing cooperation among distributed agents is still a difficult problem in the field of multi-agent reinforcement learning (MARL), particularly in social dilemma situations. There, individual interests are misaligned with the common good and individual rationality leads to suboptimal group outcomes. In contrast, humans are able to achieve cooperation with one another in such situations. A common explanation for such cooperative behavior is that individuals have social preferences. In order to",
  "authors": "Yu Wei, Yukiko Ogura, Yoshiyuki Ohmura, Ildefons Magrans de Abril, Hoshinori Kanazawa, Yasuo Kuniyoshi",
  "category": "research",
  "topics": "bias-fairness,safety-alignment,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-06T06:26:43.000Z",
  "fetched_at": "2026-07-14T14:14:24.245Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/208",
  "original_url": "https://arxiv.org/abs/2607.04710v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}