Summary of Dispute Resolution in Legal Mediation with Quantitative Argumentation, by Xiao Chi
Dispute resolution in legal mediation with quantitative argumentation
by Xiao Chi
First submitted to arxiv on: 25 Sep 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper addresses limitations in current approaches to mediation by introducing a QuAM (Quantitative Argumentation Mediate) framework that integrates parties’ knowledge, mediator’s knowledge, facts, and legal norms. The framework updates argument acceptability in response to changing variables without requiring new arguments or existing ones’ removal. A real-world legal mediation serves as an example to illustrate the approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Mediation is like a special kind of talking to help people with disagreements find a solution. This paper is about making this process better by combining different types of information, such as facts and rules, to decide what’s important. It also creates a new way to look at how acceptable an idea is based on the importance of certain things. |
