Summary of On the Semantics Of Abstract Argumentation Frameworks: a Logic Programming Approach, by Gianvincenzo Alfano et al.
On the Semantics of Abstract Argumentation Frameworks: A Logic Programming Approach
by Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
First submitted to arxiv on: 6 Aug 2020
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Logic in Computer Science (cs.LO)
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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 In a recent study, researchers have been exploring ways to enhance Dung’s abstract Argumentation Framework (AF), which has gained significant attention in recent years. The authors examine two prominent extensions: bipolar AFs and AFs that allow recursive attacks and necessary supports. Notably, while there is extensive research on the connection between AF semantics and Partial Stable Models (PSMs) of logic programs, this relationship remains unexplored for more general frameworks extending AF. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has been looking into ways to improve a type of framework called Dung’s abstract Argumentation Framework. They’re focusing on two special types: one that lets arguments have both positive and negative points, and another that allows attacks and supports to be connected in a loop. So far, scientists have studied how these frameworks relate to something called Partial Stable Models, but they haven’t looked into this connection for more general versions of the framework. |
Keywords
» Artificial intelligence » Attention » Semantics
