Agentic data science with the Data Agent Kit
cloud.google.com·7h ago
AI Research
arXiv CS.AI·Aug 18·5 min read
Argumentation for Common Ground: Finding Zones of Possible Agreement between Individuals in Conflict
TL;DR
A novel computational argumentation framework identifies Zones of Possible Agreement (ZOPA) in conflicts, focusing on the Palestinian-Israeli situation. This approach helps negotiators find mutually acceptable peace agreements by analyzing citizens' reasoning.
✦ Why It Matters
Consider using this framework to analyze public reasoning in your conflict resolution projects today.
Key Takeaways
- Utilize computational argumentation to analyze conflicting narratives.
- Identify ZOPAs to facilitate peace negotiations.
- Incorporate citizen reasoning into conflict resolution strategies.
- Leverage survey data for informed decision-making in negotiations.
How It Works
The framework employs a quantitative bipolar argumentation model that represents the reasoning of each side in a conflict. By merging these models, it identifies overlapping areas of agreement, allowing negotiators to focus on clauses that can be mutually accepted.