<div class="csl-bib-body">
<div class="csl-entry">Fabian Achammer, Stefan Hetzl, & Schmidt, R. A. (2025). Computing Witnesses Using the SCAN Algorithm. In <i>Automated Deduction – CADE 30</i> (pp. 511–531). https://doi.org/10.1007/978-3-031-99984-0_27</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/225171
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dc.description.abstract
Second-order quantifier-elimination is the problem of finding, given a formula with second-order quantifiers, a logically equivalent first-order formula. While such formulas are not computable in general, there are practical algorithms and subclasses with applications throughout computational logic. One of the most prominent algorithms for second-order quantifier elimination is the SCAN algorithm which is based on saturation theorem proving. In this paper we show how the SCAN algorithm on clause sets can be extended to solve a more general problem: namely, finding an instance of the second-order quantifiers that results in a logically equivalent first-order formula. In addition we provide a prototype implementation of the proposed method. This work paves the way for applying the SCAN algorithm to new problems in application domains such as modal correspondence theory, knowledge representation, and verification.
en
dc.language.iso
en
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dc.relation.ispartofseries
Lecture Notes in Computer Science
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dc.subject
Formula equations
en
dc.subject
Saturation theorem proving
en
dc.subject
SCAN algorithm
en
dc.subject
Second-order quantifier elimination
en
dc.title
Computing Witnesses Using the SCAN Algorithm
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.contributor.affiliation
University of Manchester, United Kingdom of Great Britain and Northern Ireland (the)
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dc.relation.isbn
978-3-031-99984-0
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dc.description.startpage
511
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dc.description.endpage
531
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Automated Deduction – CADE 30
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tuw.container.volume
15943
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tuw.peerreviewed
true
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tuw.researchTopic.id
A3
-
tuw.researchTopic.name
Fundamental Mathematics Research
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tuw.researchTopic.value
100
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tuw.publication.orgunit
E104-02 - Forschungsbereich Computational Logic
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tuw.publisher.doi
10.1007/978-3-031-99984-0_27
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dc.description.numberOfPages
21
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tuw.author.orcid
0000-0002-6461-5982
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tuw.author.orcid
0000-0002-6673-3333
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tuw.event.name
CADE 30: 30th International Conference on Automated Deduction
en
tuw.event.startdate
28-07-2025
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tuw.event.enddate
31-07-2025
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Stuttgart
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tuw.event.country
DE
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tuw.event.presenter
Fabian Achammer
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tuw.event.track
Single Track
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
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wb.sciencebranch.oefos
1010
-
wb.sciencebranch.value
5
-
wb.sciencebranch.value
95
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item.openairetype
conference paper
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.grantfulltext
none
-
item.fulltext
no Fulltext
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crisitem.author.dept
E104-02 - Forschungsbereich Computational Logic
-
crisitem.author.dept
E104-02 - Forschungsbereich Computational Logic
-
crisitem.author.dept
University of Manchester, United Kingdom of Great Britain and Northern Ireland (the)
-
crisitem.author.orcid
0000-0002-6461-5982
-
crisitem.author.parentorg
E104 - Institut für Diskrete Mathematik und Geometrie
-
crisitem.author.parentorg
E104 - Institut für Diskrete Mathematik und Geometrie