Summary of On the Correspondence Of Non-flat Assumption-based Argumentation and Logic Programming with Negation As Failure in the Head, by Anna Rapberger et al.
On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head
by Anna Rapberger, Markus Ulbricht, Francesca Toni
First submitted to arxiv on: 15 May 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 The paper explores the relationship between assumption-based argumentation (ABA) and logic programs (LPs) under stable model semantics, extending previous work that restricted ABA to flat fragments. The authors demonstrate a correspondence between non-flat ABA and LPs with negation as failure in their head, and then extend this result to set-stable ABA semantics. This research showcases the definition of set-stable semantics for LPs with negation as failure in their head and its correspondence to set-stable ABA semantics. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how we reason about things using assumptions and rules. It’s like a puzzle where you have pieces that fit together, but sometimes they don’t quite match up. The authors want to see if these puzzles can be solved using special kinds of computer programs called logic programs. They show that it’s possible to make connections between these puzzles and the logic programs, which is important because it helps us understand how we can use computers to reason about complex ideas. |
Keywords
» Artificial intelligence » Semantics
