Summary of Cyclic Supports in Recursive Bipolar Argumentation Frameworks: Semantics and Lp Mapping, by Gianvincenzo Alfano et al.
Cyclic Supports in Recursive Bipolar Argumentation Frameworks: Semantics and LP Mapping
by Gianvincenzo Alfano, Sergio Greco, Francesco Parisi, Irina Trubitsyna
First submitted to arxiv on: 14 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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Summary difficulty | Written by | Summary |
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High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper extends Dung’s Abstract Argumentation Framework (AF) to incorporate supports and recursive attacks and supports. The Bipolar Argumentation Framework (BAF) and Recursive BAF (Rec-BAF) have been developed, allowing for more nuanced expression of arguments in Artificial Intelligence. However, existing semantics do not account for support cycles or are complex. This paper presents classical semantics for general BAF and Rec-BAF by defining modular sets of defeated and acceptable elements. It also characterizes the semantics in terms of logic programming and partial stable model semantics. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps us understand how to argue in Artificial Intelligence better. The way we express arguments has been improved with a new framework that includes supports and recursive attacks and supports. This makes it easier to talk about complex ideas. The old ways of defining these frameworks didn’t work well when there are cycles or patterns in the argumentation. So, this paper introduces simple and easy-to-understand definitions for these frameworks. |
Keywords
» Artificial intelligence » Semantics