<div class="csl-bib-body">
<div class="csl-entry">Buraglio, G., Dvorak, W., König, M., & Ulbricht, M. (2024). Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes. In <i>Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence</i> (pp. 3281–3288). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2024/363</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/210498
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dc.description.abstract
In formal argumentation one aims for intuitive and concise justifications for the acceptance of arguments. Discussion games and dispute trees are established methods to obtain such a justification. However, so far these techniques are based on instantiating the knowledge base into graph-based Dung style abstract argumentation frameworks (AFs). These instantiations are known to produce frameworks with a large number of arguments and thus also yield long discussion games and large dispute trees. To obtain more concise justifications for argument acceptance, we propose to instantiate the knowledge base as an argumentation framework with collective attacks (SETAF). Remarkably, this approach yields smaller frameworks compared to traditional AF instantiation, while exhibiting increased expressive power. We then introduce discussion games and dispute trees tailored to SETAFs, show that they correspond to credulous acceptance w.r.t. the well-known preferred semantics, analyze and tune them w.r.t. the size, and compare the two notions. Finally, we illustrate how our findings apply to assumption-based argumentation.
en
dc.description.sponsorship
FWF - Österr. Wissenschaftsfonds
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dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.language.iso
en
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dc.subject
Justifying Argument Acceptance
en
dc.subject
Argumentation Frameworks (AFs)
en
dc.subject
SETAFs
en
dc.subject
Artificial Intelli- gence (AI)
en
dc.title
Justifying Argument Acceptance with Collective Attacks: Discussions and Disputes
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.relation.publication
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
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dc.relation.isbn
978-1-956792-04-1
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dc.description.startpage
3281
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dc.description.endpage
3288
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dc.relation.grantno
P32830-N
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dc.relation.grantno
ICT19-065
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
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tuw.peerreviewed
true
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tuw.relation.publisher
International Joint Conferences on Artificial Intelligence
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tuw.project.title
Hybrid Parameterized Problem Solving in Practice
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tuw.project.title
Revealing and Utilizing the Hidden Structure for Solving Hard Problems in AI
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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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tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
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tuw.publication.orgunit
E056-13 - Fachbereich LogiCS
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tuw.publisher.doi
10.24963/ijcai.2024/363
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dc.description.numberOfPages
8
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tuw.author.orcid
0000-0002-2269-8193
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tuw.author.orcid
0000-0003-0205-0039
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tuw.event.name
33rd International Joint Conference on Artificial Intelligence (IJCAI 2024)
en
tuw.event.startdate
03-08-2024
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tuw.event.enddate
09-08-2024
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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
Jeju Island
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tuw.event.country
KR
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tuw.event.presenter
Ulbricht, Markus
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tuw.event.track
Multi 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
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wb.sciencebranch.value
80
-
wb.sciencebranch.value
20
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item.languageiso639-1
en
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item.openairetype
conference paper
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item.grantfulltext
none
-
item.fulltext
no Fulltext
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item.cerifentitytype
Publications
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.dept
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
crisitem.author.orcid
0000-0002-2269-8193
-
crisitem.author.orcid
0000-0003-0205-0039
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crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
crisitem.author.parentorg
E192 - Institut für Logic and Computation
-
crisitem.project.funder
FWF - Österr. Wissenschaftsfonds
-
crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds