Summary of Contribution Functions For Quantitative Bipolar Argumentation Graphs: a Principle-based Analysis, by Timotheus Kampik et al.
Contribution Functions for Quantitative Bipolar Argumentation Graphs: A Principle-based Analysis
by Timotheus Kampik, Nico Potyka, Xiang Yin, Kristijonas Čyras, Francesca Toni
First submitted to arxiv on: 16 Jan 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 A novel principle-based analysis for quantitative bipolar argumentation graphs is presented, focusing on contribution functions that quantify the impact of one argument on another. The study formalizes intuitions behind different contribution functions and establishes expectations for their behavior. As no single function satisfies all principles, the analysis provides a tool for selecting the most suitable function based on specific use cases. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A group of researchers studied how arguments affect each other in special diagrams called bipolar argumentation graphs. They came up with new rules to help choose the right way to measure this effect. These rules make sense and can be used to pick the best method for a particular situation, since none of the methods they looked at did everything perfectly. |
