Smaller progress measures and separating automata for parity games
Article
Dell'Erba, D. and Schewe, S. 2022. Smaller progress measures and separating automata for parity games. Frontiers in Computer Science. 4. https://doi.org/10.3389/fcomp.2022.936903
| Type | Article |
|---|---|
| Title | Smaller progress measures and separating automata for parity games |
| Authors | Dell'Erba, D. and Schewe, S. |
| Abstract | Calude et al. have recently shown that parity games can be solved in quasi-polynomial time, a landmark result that has led to several approaches with quasi-polynomial complexity. Jurdzinski and Lazic have further improved the precise complexity of parity games, especially when the number of priorities is low (logarithmic in the number of positions). Both of these algorithms belong to a class of game solving techniques now often called separating automata: deterministic automata that can be used as witness automata to decide the winner in parity games up to a given number of states and colors. We suggest several adjustments to the approach of Calude et al. that lead to smaller statespaces. These include and improve over those earlier introduced by Fearnley et al. We identify two of them that, together, lead to a statespace of exactly the same size Jurdzinski and Lazic's concise progress measures, which currently hold the crown as the smallest statespace. The remaining improvements, hence, lead to a further reduction in the size of the statespace, making our approach the most succinct progress measure available for parity games. |
| Sustainable Development Goals | 9 Industry, innovation and infrastructure |
| Middlesex University Theme | Creativity, Culture & Enterprise |
| Publisher | Frontiers Media S.A. |
| Journal | Frontiers in Computer Science |
| ISSN | |
| Electronic | 2624-9898 |
| Publication dates | |
| Online | 20 Sep 2022 |
| 20 Sep 2022 | |
| Publication process dates | |
| Submitted | 05 May 2022 |
| Accepted | 26 Aug 2022 |
| Deposited | 13 Mar 2026 |
| Output status | Published |
| Publisher's version | License File Access Level Open |
| Copyright Statement | © 2022 Dell'Erba and Schewe. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| Digital Object Identifier (DOI) | https://doi.org/10.3389/fcomp.2022.936903 |
| Scopus EID | 2-s2.0-85139237300 |
https://repository.mdx.ac.uk/item/367x6v
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