<div class="csl-bib-body">
<div class="csl-entry">Buraglio, G., Dvořák, W., Rapberger, A., & Woltran, S. (2023). Constrained Derivation in Assumption-Based Argumentation. In G. Alfano & S. Ferilli (Eds.), <i>Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2023)</i>. CEUR-WS.org. https://doi.org/10.34726/5385</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/192676
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dc.identifier.uri
https://doi.org/10.34726/5385
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dc.description.abstract
Structured argumentation formalisms provide a rich framework to formalise and reason over situations where contradicting information is present. However, in most formalisms the integral step of constructing all possible arguments is performed in an unconstrained way and is thus not under direct control of the user. This can hinder a solid analysis of the behaviour of the system and makes explanations for the results difficult to obtain. In this work, we introduce a general approach that allows constraining the derivation of arguments for assumption-based argumentation.
en
dc.description.sponsorship
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
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dc.description.sponsorship
European Commission
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dc.language.iso
en
-
dc.relation.ispartofseries
CEUR Workshop Proceedings
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dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
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dc.subject
Assumption-Based Argumentation
en
dc.subject
Normative Reasoning
en
dc.subject
Non-monotonic Reasoning
en
dc.subject
integral step
en
dc.subject
Control
en
dc.subject
Constrained
en
dc.title
Constrained Derivation in Assumption-Based Argumentation
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.identifier.doi
10.34726/5385
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dc.contributor.affiliation
Imperial College London, United Kingdom of Great Britain and Northern Ireland (the)
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dc.contributor.editoraffiliation
University of Bari Aldo Moro, Italy
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dc.relation.grantno
ICT19-065
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dc.relation.grantno
101034440
-
dc.rights.holder
2023 the authors
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dc.type.category
Full-Paper Contribution
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dc.relation.eissn
1613-0073
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tuw.booktitle
Proceedings of the 7th Workshop on Advances in Argumentation in Artificial Intelligence (AI^3 2023)
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tuw.container.volume
3546
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tuw.peerreviewed
true
-
tuw.book.ispartofseries
CEUR Workshop Proceedings
-
tuw.relation.publisher
CEUR-WS.org
-
tuw.project.title
Revealing and Utilizing the Hidden Structure for Solving Hard Problems in AI
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tuw.project.title
Logics for Computer Science Program at TU Wien
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tuw.researchTopic.id
I1
-
tuw.researchTopic.name
Logic and Computation
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tuw.researchTopic.value
100
-
tuw.publication.orgunit
E192-02 - Forschungsbereich Databases and Artificial Intelligence
-
dc.identifier.libraryid
AC17203012
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dc.description.numberOfPages
15
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tuw.author.orcid
0000-0002-2269-8193
-
tuw.author.orcid
0000-0003-0355-3535
-
tuw.author.orcid
0000-0003-1594-8972
-
dc.rights.identifier
CC BY 4.0
de
dc.rights.identifier
CC BY 4.0
en
tuw.editor.orcid
0000-0002-7280-4759
-
tuw.editor.orcid
0000-0003-1118-0601
-
tuw.event.name
7th Workshop on Advances in Argumentation in Artificial (AI^3 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023)
en
tuw.event.startdate
09-11-2023
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tuw.event.enddate
09-11-2023
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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
Rom
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tuw.event.country
IT
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tuw.event.presenter
Buraglio, Giovanni
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wb.sciencebranch
Informatik
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wb.sciencebranch
Mathematik
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wb.sciencebranch.oefos
1020
-
wb.sciencebranch.oefos
1010
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wb.sciencebranch.value
80
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wb.sciencebranch.value
20
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item.openairecristype
http://purl.org/coar/resource_type/c_5794
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item.openaccessfulltext
Open Access
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item.openairetype
conference paper
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item.fulltext
with Fulltext
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item.mimetype
application/pdf
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item.languageiso639-1
en
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item.grantfulltext
open
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item.cerifentitytype
Publications
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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
0000-0003-0355-3535
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crisitem.author.orcid
0000-0003-1594-8972
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crisitem.author.parentorg
E192 - Institut für Logic and Computation
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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
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crisitem.project.funder
WWTF Wiener Wissenschafts-, Forschu und Technologiefonds
