{
  "id": 4734,
  "url": "https://arxiv.org/abs/2605.07683v2",
  "title": "A Multi-Level Agent-Based Architecture for Climate Governance Integrating Cognitive and Institutional Dynamics",
  "summary": "Climate governance processes involve complex interactions between heterogeneous citizens, advocacy groups, media actors, and political decision-makers. While agent-based models (ABMs) have been widely used to study environmental policy and socio-ecological systems, many existing approaches focus either on institutional dynamics or individual behavioural mechanisms in isolation. This paper presents a modular multi-level agent-based architecture that integrates empirically grounded cognitive decis",
  "authors": "Ivan Puga-Gonzalez, Önder Gürcan, Vanja Falck, Christopher Frantz, F. LeRon Shults, David Herbert et al.",
  "category": "research",
  "topics": "regulation,agents-autonomy,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-08T12:53:54.000Z",
  "fetched_at": "2026-07-14T16:31:12.746Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/4734",
  "original_url": "https://arxiv.org/abs/2605.07683v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}