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Inductive Benchmarks for Automated Reasoning
- Source :
- Intelligent Computer Mathematics-14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings, Lecture Notes in Computer Science ISBN: 9783030810962, CICM, Lecture Notes in Computer Science, Lecture Notes in Computer Science-Intelligent Computer Mathematics
- Publication Year :
- 2021
-
Abstract
- We present a large set of benchmarks for automated theorem provers that require inductive reasoning. Motivated by the need to compare first-order theorem provers, SMT solvers and inductive theorem provers, the setting of our examples follows the SMT-LIB standard. Our benchmark set contains problems with inductive data types as well as integers. In addition to SMT-LIB encodings, we provide translations to some other less common input formats.
- Subjects :
- 0303 health sciences
Theoretical computer science
Computer science
Inductive reasoning
Data type
Set (abstract data type)
03 medical and health sciences
Theorem provers
TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES
0302 clinical medicine
TheoryofComputation_LOGICSANDMEANINGSOFPROGRAMS
030220 oncology & carcinogenesis
Automated theorem provers
Benchmark (computing)
Large set (combinatorics)
Automated reasoning
030304 developmental biology
Subjects
Details
- ISBN :
- 978-3-030-81096-2
978-3-030-81097-9 - ISSN :
- 03029743 and 16113349
- ISBNs :
- 9783030810962 and 9783030810979
- Database :
- OpenAIRE
- Journal :
- Intelligent Computer Mathematics - 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021, Proceedings
- Accession number :
- edsair.doi.dedup.....2c8f0db16191fea20aad0cf8ed526d6c
- Full Text :
- https://doi.org/10.1007/978-3-030-81097-9_9