<div class="csl-bib-body">
<div class="csl-entry">Hajdu, M., Hozzová, P., Kovács, L., Schoisswohl, J., & Voronkov, A. (2021). Inductive Benchmarks for Automated Reasoning. In <i>Intelligent Computer Mathematics. 14th International Conference, CICM 2021, Timisoara, Romania, July 26–31, 2021. Proceedings</i> (pp. 124–129). Springer. https://doi.org/10.34726/1563</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/18558
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dc.identifier.uri
https://doi.org/10.34726/1563
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dc.description.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.
en
dc.description.sponsorship
European Commission
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dc.description.sponsorship
European Commission
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dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
automated reasoning
en
dc.subject
automated deduction
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dc.subject
theorem proving
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dc.title
Inductive Benchmarks for Automated Reasoning
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dc.type
Inproceedings
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dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/1563
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dc.contributor.affiliation
University of Manchester, United Kingdom of Great Britain and Northern Ireland (the)