Abstract
Parity games have important practical applications in formal verification and synthesis, especially to solve the model-checking problem of the modal mu-calculus. They are also interesting from the theory perspective, because they are widely believed to admit a polynomial solution, but so far no such algorithm is known. We propose a new algorithm to solve parity games based on learning tangles, which are strongly connected subgraphs for which one player has a strategy to win all cycles in the subgraph. We argue that tangles play a fundamental role in the prominent parity game solving algorithms. We show that tangle learning is competitive in practice and the fastest solver for large random games.
Original language | English |
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Title of host publication | Computer Aided Verification - 30th International Conference, CAV 2018, Held as Part of the Federated Logic Conference, FloC 2018, Proceedings |
Editors | Georg Weissenbacher, Hana Chockler |
Publisher | Springer |
Pages | 198-215 |
Number of pages | 18 |
ISBN (Print) | 9783319961415 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | 30th International Conference on Computer Aided Verification, CAV 2018 - Oxford, United Kingdom Duration: 14 Jul 2018 → 17 Jul 2018 Conference number: 30 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 10982 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 30th International Conference on Computer Aided Verification, CAV 2018 |
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Abbreviated title | CAV 2018 |
Country/Territory | United Kingdom |
City | Oxford |
Period | 14/07/18 → 17/07/18 |
Other | Held as Part of the Federated Logic Conference, FloC 2018 |