paper-with-me

홈 › Papers

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

2023-07-26 · Duo Zhang, Yuren Pang, Yu Qin

The current framework for climate change negotiation models presents several limitations that warrant further research and development. In this track, we discuss mainly two key areas for improvement, focusing on the geographical impacts and utility framework. In the aspects of geographical impacts, We explore five critical aspects: (1) the shift from local to global impact, (2) variability in climate change effects across regions, (3) heterogeneity in geographical location and political structures, and (4) collaborations between adjacent nations, (5) the importance of including historical and cultural factors influencing climate negotiations. Furthermore, we emphasize the need to refine the utility and rewards framework to reduce the homogeneity and the level of overestimating the climate mitigation by integrating the positive effects of saving rates into the reward function and heterogeneity among all regions. By addressing these limitations, we hope to enhance the accuracy and effectiveness of climate change negotiation models, enabling policymakers and stakeholders to devise targeted and appropriate strategies to tackle climate change at both regional and global levels.

📄 PDF Abstract BibTeX arXiv:2307.13886

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

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

2023-07-26 · Yu Qin, Duo Zhang, Yuren Pang

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 pr…

Explore the possibility of advancing climate negotiations on the basis of regional trade organizations: A study based on RICE-N

2023-07-26 · Wubo Dai

Climate issues have become more and more important now. Although global governments have made some progress, we are still facing the truth that the prospect of international cooperation is not clear at present. Due to th…

AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N

2022-08-15 · Tianyu Zhang, Andrew Williams, Soham Phade, Sunil Srinivasa 외

Comprehensive global cooperation is essential to limit global temperature increases while continuing economic development, e.g., reducing severe inequality or achieving long-term economic growth. Achieving long-term coop…

EthicsMulti-agent Reinforcement Learning

Improving International Climate Policy via Mutually Conditional Binding Commitments

2023-07-26 · Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan 외

This paper proposes enhancements to the RICE-N simulation and multi-agent reinforcement learning framework to improve the realism of international climate policy negotiations. Acknowledging the framework's value, we high…

Decision MakingMulti-agent Reinforcement Learningreinforcement-learningReinforcement Learning

Improving International Climate Policy via Mutually Conditional Binding Commitments

2023-07-26 · Jobst Heitzig, Jörg Oechssler, Christoph Pröschel, Niranjana Ragavan 외

The Paris Agreement, considered a significant milestone in climate negotiations, has faced challenges in effectively addressing climate change due to the unconditional nature of most Nationally Determined Contributions (…