Summary of Enumerating Minimal Unsatisfiable Cores Of Ltlf Formulas, by Antonio Ielo et al.
Enumerating Minimal Unsatisfiable Cores of LTLf formulas
by Antonio Ielo, Giuseppe Mazzotta, Rafael Peñaloza, Francesco Ricca
First submitted to arxiv on: 14 Sep 2024
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 This paper presents a novel technique for enumerating minimal unsatisfiable cores (MUCs) of Linear Temporal Logic over finite traces (_f) specifications. The approach involves encoding _f formulas into Answer Set Programming (ASP) specifications, allowing MUSes (minimal unsatisfiable subsets) in the ASP program to directly correspond to MUCs of the original _f specification. Building on recent advancements in ASP solving, the proposed method achieves good performance on established benchmarks from the literature. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper solves a big problem in AI and computer science called “unsatisfiable cores.” It’s like trying to find the smallest group of things that makes something impossible happen. The team used a new way to turn formulas into programs, which helps solve this problem faster and more accurately than before. |
