{
  "id": 11941,
  "url": "https://arxiv.org/abs/2607.17311",
  "title": "The Optimization Trilemma: Efficiency, Comfort and Fairness in Decentralized Multi-agent Coordination",
  "summary": "arXiv:2607.17311v1 Announce Type: cross Abstract: The problem of fair multi-agent coordination in decentralized settings is one of the most pressing challenges for building efficient collaborative systems. Resource allocation is based on optimized collective arrangements accounting for agents' needs. Such coordination should not only be computationally efficient but also account for fairness, i.e., equitable redistribution of costs incurred by all agents. Recent literature has proposed several a",
  "authors": "Jovan Nikolic, Maciej Krzysztof Zuziak, Evangelos Pournaras",
  "category": "research",
  "topics": "bias-fairness,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-21T04:00:00.000Z",
  "fetched_at": "2026-07-21T05:10:12.656Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/11941",
  "original_url": "https://arxiv.org/abs/2607.17311",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}