<div class="csl-bib-body">
<div class="csl-entry">Baumann, R., Dvorak, W., Linsbichler, T., & Woltran, S. (2019). A general notion of equivalence for abstract argumentation. <i>Artificial Intelligence</i>, <i>275</i>, 379–410. https://doi.org/10.1016/j.artint.2019.06.006</div>
</div>
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dc.identifier.issn
0004-3702
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/143216
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dc.description.abstract
We introduce a parametrized equivalence notion for abstract argumentation that subsumes standard and strong equivalence as corner cases. Under this notion, two argumentation frameworks are equivalent if they deliver the same extensions under any addition of arguments and attacks that do not affect a given set of core arguments. We also provide exact characterizations and complexity results. The proposed notion of equivalence is motivated by its capability to capture the concept of local simplifications. In fact, our equivalence notion allows to decide whether a sub-framework can be replaced by another one without changing the extensions in the framework which undergoes this change. Moreover, as our characterizations demonstrate deciding this form of equivalence does not require an analysis of the entire framework. This makes it an appealing formal underpinning for establishing general replacement patterns in argumentation frameworks.
en
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
-
dc.description.sponsorship
Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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dc.language.iso
en
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dc.publisher
ELSEVIER
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dc.relation.ispartof
Artificial Intelligence
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dc.subject
Artificial Intelligence
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dc.subject
Linguistics and Language
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dc.subject
Language and Linguistics
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dc.subject
Abstract argumentation Equivalence Local simplification Computational complexity
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dc.title
A general notion of equivalence for abstract argumentation
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dc.type
Artikel
de
dc.type
Article
en
dc.description.startpage
379
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dc.description.endpage
410
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dc.relation.grantno
Y 698-N23
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dc.relation.grantno
I2854-N35
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dc.type.category
Original Research Article
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tuw.container.volume
275
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tuw.journal.peerreviewed
true
-
tuw.peerreviewed
true
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wb.publication.intCoWork
International Co-publication
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tuw.project.title
START
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tuw.project.title
Advanced Tools for Graph - Based Formal Argumentation
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tuw.project.title
EMBArg
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tuw.researchTopic.id
I1
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tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
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dcterms.isPartOf.title
Artificial Intelligence
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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publisher.doi
10.1016/j.artint.2019.06.006
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dc.identifier.eissn
1872-7921
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dc.description.numberOfPages
32
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tuw.author.orcid
0000-0002-2269-8193
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tuw.author.orcid
0000-0001-9143-4071
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tuw.author.orcid
0000-0003-1594-8972
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wb.sci
true
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wb.sciencebranch
Informatik
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wb.sciencebranch.oefos
1020
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wb.facultyfocus
Logic and Computation (LC)
de
wb.facultyfocus
Logic and Computation (LC)
en
wb.facultyfocus.faculty
E180
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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http://purl.org/coar/resource_type/c_18cf
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none
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no Fulltext
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Artikel
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Publications
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en
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FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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FWF Fonds zur Förderung der wissenschaftlichen Forschung (FWF)
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crisitem.project.grantno
I2854-N35
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crisitem.project.grantno
P30168-N31
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E192-02 - Forschungsbereich Databases and Artificial Intelligence
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence