Summary of Advancing Algorithmic Approaches to Probabilistic Argumentation Under the Constellation Approach, by Andrei Popescu and Johannes P. Wallner
Advancing Algorithmic Approaches to Probabilistic Argumentation under the Constellation Approach
by Andrei Popescu, Johannes P. Wallner
First submitted to arxiv on: 6 Jul 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 the challenge of reasoning with defeasible and conflicting knowledge in an argumentative form, a key problem in computational argumentation. The authors develop an algorithmic approach to overcome the high computational complexity of argumentative reasoning under uncertainty, particularly for the constellation approach. They refine existing complexity results and show that two main reasoning tasks have different complexities: computing the probability of a set being an extension is #P-complete, while determining whether an argument is acceptable is #-dot-NP-complete. The authors present an algorithm using dynamic programming on tree-decompositions to compute the probability of a set of arguments being a complete extension. Experimental results show promise for their approach. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps computers make better decisions by figuring out how to reason with uncertain and conflicting information in arguments. Right now, it’s hard for computers to do this because it requires a lot of calculations. The researchers came up with a new way to solve this problem using a special kind of programming that breaks down complex problems into smaller pieces. They tested their approach and found that it worked well. This is important because it could help computers make more accurate decisions in the future. |
Keywords
» Artificial intelligence » Probability
