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AI4GCC - Team: Below Sea Level: Critiques and Improvements

arXiv 2307.13894 ↗First posted 26 Jul 2023cs.CY cs.AIcited by 0

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Abstract (arXiv)

We present a critical analysis of the simulation framework RICE-N, an integrated assessment model (IAM) for evaluating the impacts of climate change on the economy. We identify key issues with RICE-N, including action masking and irrelevant actions, and suggest improvements such as utilizing tariff revenue and penalizing overproduction. We also critically engage with features of IAMs in general, namely overly optimistic damage functions and unrealistic abatement cost functions. Our findings contribute to the ongoing efforts to further develop the RICE-N framework in an effort to improve the simulation, making it more useful as an inspiration for policymakers.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 26 Jul 2023.

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References · 1

  1. 2022AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-Ncited by 22

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