Researchers have developed a new multi-agent model designed to simulate climate adaptation deliberations. This model integrates individual decision-making frameworks like HUMAT and MOA with social influence and institutional strategies for NGOs, media, and politicians. The architecture aims to empirically calibrate through survey data and stakeholder engagement, supporting scenario-based exploration of climate governance. AI
IMPACT This model could enhance the simulation of complex climate governance scenarios.
RANK_REASON The cluster contains an academic paper detailing a new model architecture. [lever_c_demoted from research: ic=1 ai=1.0]
Read on arXiv cs.MA (Multiagent) →
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