Formally Verified SAT-Based AI Planning

October 27, 2020 Β· Declared Dead Β· πŸ› AAAI Conference on Artificial Intelligence

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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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