<div class="csl-bib-body">
<div class="csl-entry">Hajdu, M., Kovács, L., Rawson, M., & Voronkov, A. (2024). Reducibility Constraints in Superposition. In <i>Automated Reasoning: 12th International Joint Conference, IJCAR 2024, Nancy, France, July 3–6, 2024, Proceedings, Part I</i> (pp. 115–132). https://doi.org/10.1007/978-3-031-63498-7_8</div>
</div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/199516
-
dc.description.abstract
Modern superposition inference systems aim at reducing the search space by introducing redundancy criteria on clauses and inferences. This paper focuses on reducing the number of superposition inferences with a single clause by blocking inferences into some terms, provided there were previously made inferences of a certain form performed with predecessors of this clause. Other calculi based on blocking inferences, for example basic superposition, rely on variable abstraction or equality constraints to express irreducibility of terms, resulting however in blocking inferences with all subterms of the respective terms. Here we introduce reducibility constraints in superposition to enable a more expressive blocking mechanism for inferences. We show that our calculus remains (refutationally) complete and present redundancy notions. Our implementation in the theorem prover Vampire demonstrates a considerable reduction in the size of the search space when using our new calculus.
en
dc.language.iso
en
-
dc.relation.ispartofseries
Lecture Notes in Computer Science
-
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
-
dc.subject
automated reasoning
en
dc.subject
saturation
en
dc.subject
superposition
en
dc.subject
reducibility constraints
en
dc.title
Reducibility Constraints in Superposition
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Creative Commons Namensnennung 4.0 International
de
dc.rights.license
Creative Commons Attribution 4.0 International
en
dc.contributor.affiliation
University of Manchester, United Kingdom of Great Britain and Northern Ireland (the)