Formally Verified SAT-Based AI Planning
October 27, 2020 Β· Declared Dead Β· π AAAI Conference on Artificial Intelligence
"No code URL or promise found in abstract"
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Authors
Mohammad Abdulaziz, Friedrich Kurz
arXiv ID
2010.14648
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.LO
Citations
7
Venue
AAAI Conference on Artificial Intelligence
Last Checked
4 months ago
Abstract
We present an executable formally verified SAT encoding of classical AI planning. We use the theorem prover Isabelle/HOL to perform the verification. We experimentally test the verified encoding and show that it can be used for reasonably sized standard planning benchmarks. We also use it as a reference to test a state-of-the-art SAT-based planner, showing that it sometimes falsely claims that problems have no solutions of certain lengths.
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