Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies

Yu Qin, Duo Zhang, Yuren Pang
7/26/2023
cs.CYcs.AI

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Abstract

In this paper, we propose a dynamic grouping negotiation model for climate mitigation based on real-world business and political negotiation protocols. Within the AI4GCC competition framework, we develop a three-stage process: group formation and updates, intra-group negotiation, and inter-group negotiation. Our model promotes efficient and effective cooperation between various stakeholders to achieve global climate change objectives. By implementing a group-forming method and group updating strategy, we address the complexities and imbalances in multi-region climate negotiations. Intra-group negotiations ensure that all members contribute to mitigation efforts, while inter-group negotiations use the proposal-evaluation framework to set mitigation and savings rates. We demonstrate our negotiation model within the RICE-N framework, illustrating a promising approach for facilitating international cooperation on climate change mitigation.

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@article{qin2023dynamic,
  title  = {Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies},
  author = {Yu Qin and Duo Zhang and Yuren Pang},
  year   = {2023},
  eprint = {2307.13893},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2307.13893v1}
}

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