Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies
Yu Qin, Duo Zhang, Yuren Pang

TL;DR
This paper introduces a dynamic grouping negotiation model for climate change mitigation, inspired by real-world protocols, to enhance cooperation among stakeholders through structured intra- and inter-group negotiations.
Contribution
It presents a novel three-stage negotiation framework incorporating group formation, intra-group, and inter-group negotiations tailored for climate policy coordination.
Findings
Effective stakeholder cooperation achieved in simulations.
Addresses negotiation complexities and imbalances.
Demonstrates promising results within RICE-N framework.
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…
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Taxonomy
TopicsMulti-Agent Systems and Negotiation
