Summary of Solving Epistemic Logic Programs Using Generate-and-test with Propagation, by Jorge Fandinno and Lute Lillo
Solving Epistemic Logic Programs using Generate-and-Test with Propagation
by Jorge Fandinno, Lute Lillo
First submitted to arxiv on: 29 Oct 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 abstract proposes a general framework for generating-and-testing-based solvers in epistemic logic programs, allowing for the creation of various solver instances using different generator and tester programs. Theoretical conditions are established to ensure the correctness of these solvers, and a new generator program is introduced that incorporates epistemic consequence propagation, resulting in exponential candidate reduction with linear overhead. A novel solver implementation is presented, which outperforms existing ones by achieving a 3.3x speed-up and solving 91% more instances on well-known benchmarks. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a new way to solve problems using “logic programs” that can be combined with different tools to make the process faster and better. The researchers prove that this approach works, then use it to create a new tool that is much faster than existing ones. They test this tool on many well-known problems and find that it can solve 91% more of them than other tools. |
