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New multi-agent model simulates climate adaptation deliberations

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) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New multi-agent model simulates climate adaptation deliberations

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The cluster contains an academic paper detailing a new model architecture. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Ivan Puga-Gonzalez ·

    A Role-Based Multi-Agent Model for Climate Adaptation Deliberation Across Living Labs

    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 …