Summary of Historical Review Of Variants Of Informal Semantics For Logic Programs Under Answer Set Semantics: Gl’88, Gl’91, Gk’14, D-v’12, by Yuliya Lierler
Historical Review of Variants of Informal Semantics for Logic Programs under Answer Set Semantics: GL’88, GL’91, GK’14, D-V’12
by Yuliya Lierler
First submitted to arxiv on: 9 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 presents a comprehensive survey of informal semantics in logic programming under answer set semantics. It provides a uniform review of these concepts, aligning them with two prominent paradigms: Answer Set Programming and ASP-Prolog. These paradigms are essential knowledge representation and reasoning frameworks in Artificial Intelligence, and this paper reviews their theory and practice in the context of Logic Programming. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks back at how computers understand language. It’s like a big dictionary that helps computers talk to each other about what things mean. This is important for artificial intelligence because it allows computers to reason and make decisions. The paper talks about two ways computers do this: Answer Set Programming and ASP-Prolog. These are special tools that help computers understand what things mean. |
Keywords
» Artificial intelligence » Semantics
