Determinization and Limit-Determinization of Emerson-Lei Automata
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
We study the problem of determinizing 𝜔-automata whose acceptance condition is defined on the transitions using Boolean formulas, also known as transition-based Emerson-Lei automata (TELA). The standard approach to determinize TELA first constructs an equivalent generalized Büchi automaton (GBA), which is later determinized. We introduce three new ways of translating TELA to GBA. Furthermore, we give a new determinization construction which determinizes several GBA separately and combines them using a product construction. An experimental evaluation shows that the product approach is competitive when compared with state-of-the-art determinization procedures. We also study limit-determinization of TELA and show that this can be done with a single-exponential blow-up, in contrast to the known double-exponential lower-bound for determinization. Finally, one version of the limit-determinization procedure yields good-for-MDP automata which can be used for quantitative probabilistic model checking.
Details
Original language | English |
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Title of host publication | Automated Technology for Verification and Analysis |
Editors | Zhe Hou, Vijay Ganesh |
Publisher | Springer, Berlin [u. a.] |
Pages | 15–31 |
Number of pages | 17 |
ISBN (print) | 978-3-030-88884-8 |
Publication status | Published - 12 Oct 2021 |
Peer-reviewed | Yes |
Publication series
Series | Lecture Notes in Computer Science, Volume 12971 |
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ISSN | 0302-9743 |
Conference
Title | 19th International Symposium on Automated Technology for Verification and Analysis |
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Abbreviated title | ATVA 2021 |
Conference number | 19 |
Duration | 18 - 22 October 2021 |
Website | |
Degree of recognition | International event |
Location | online |
City | Gold Coast |
Country | Australia |
External IDs
ORCID | /0000-0002-5321-9343/work/142236773 |
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ORCID | /0000-0003-1724-2586/work/165453612 |
Scopus | 85118190202 |