A Multi-Level Agent-Based Architecture for Climate Governance Integrating Cognitive and Institutional Dynamics
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
Record details
Published: 8 May 2026
Source: arXiv
Category: Research
Topics: Regulation · Agents & autonomy · Environment
Retrieved: 14 July 2026
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ethics.ai (8 May 2026), “A Multi-Level Agent-Based Architecture for Climate Governance Integrating Cognitive and Institutional Dynamics,” evidence record 4734, https://ethics.ai/record/4734 (originally published by arXiv).
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