Summary of Rejection in Abstract Argumentation: Harder Than Acceptance?, by Johannes K. Fichte and Markus Hecher and Yasir Mahmood and Arne Meier
Rejection in Abstract Argumentation: Harder Than Acceptance?
by Johannes K. Fichte, Markus Hecher, Yasir Mahmood, Arne Meier
First submitted to arxiv on: 20 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computational Complexity (cs.CC); Logic in Computer Science (cs.LO)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores flexible conditions for rejecting arguments in abstract argumentation frameworks, which are used to model and evaluate complex reasoning processes. The authors introduce rejection conditions (RCs) that allow for more nuanced evaluation of arguments. To achieve this, they associate each argument with a specific logic program and analyze the resulting complexity using treewidth, a structural parameter. This work has implications for natural problems on higher levels of the polynomial hierarchy. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper is about how to better understand complex arguments by introducing new rules for rejecting arguments. It’s like a game where you have to make decisions based on what other people are saying. The authors create a new way to do this, called rejection conditions (RCs), which makes it more realistic and challenging. They also show that this new method is very powerful and can solve complex problems. |