Conference proceeding
Politeness and Stable Infiniteness: Stronger Together
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.12699, pp.148-165
Lecture Notes in Computer Science
CADE 2021 - 28th International Conference on Automated Deduction
01/01/2021
DOI: 10.1007/978-3-030-79876-5_9
Abstract
We make two contributions to the study of polite combination in satisfiability modulo theories. The first contribution is a separation between politeness and strong politeness, by presenting a polite theory that is not strongly polite. This result shows that proving strong politeness (which is often harder than proving politeness) is sometimes needed in order to use polite combination. The second contribution is an optimization to the polite combination method, obtained by borrowing from the Nelson-Oppen method. In its non-deterministic form, the Nelson-Oppen method is based on guessing arrangements over shared variables. In contrast, polite combination requires an arrangement over \emph{all} variables of the shared sort (not just the shared variables). We show that when using polite combination, if the other theory is stably infinite with respect to a shared sort, only the shared variables of that sort need be considered in arrangements, as in the Nelson-Oppen method. Reasoning about arrangements of variables is exponential in the worst case, so reducing the number of variables that are considered has the potential to improve performance significantly. We show preliminary evidence for this in practice by demonstrating a speed-up on a smart contract verification benchmark.
Details
- Title: Subtitle
- Politeness and Stable Infiniteness: Stronger Together
- Creators
- Ying Sheng - Stanford UniversityYoni Zohar - Stanford UniversityChristophe Ringeissen - Université de LorraineAndrew Reynolds - University of IowaClark Barrett - Stanford UniversityCesare Tinelli - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.12699, pp.148-165
- Conference
- CADE 2021 - 28th International Conference on Automated Deduction
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-030-79876-5_9
- ISSN
- 0302-9743
- eISSN
- 1611-3349
- Publisher
- Springer
- Language
- English
- Date published
- 01/01/2021
- Academic Unit
- Computer Science
- Record Identifier
- 9984259489502771
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