umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
An Imprecise Probability Approach for Abstract Argumentation Based on Credal Sets
Federal University of Technology of Paraná (UTFPR), Curitiba, Brazil.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-4072-8795
Federal University of Technology of Paraná (UTFPR), Curitiba, Brazil.
2019 (English)In: Symbolic and Quantitative Approaches with Uncertainty: ECSQARU 2019 / [ed] Kern-Isberner G., Ognjanović Z, Springer, 2019, p. 39-49Conference paper, Published paper (Refereed)
Abstract [en]

Some abstract argumentation approaches consider that arguments have a degree of uncertainty, which impacts on the degree of uncertainty of the extensions obtained from an abstract argumentation framework (AAF) under a semantics. In these approaches, both the uncertainty of the arguments and of the extensions are modeled by means of precise probability values. However, in many real life situations the exact probabilities values are unknown and sometimes there is a need for aggregating the probability values of different sources. In this paper, we tackle the problem of calculating the degree of uncertainty of the extensions considering that the probability values of the arguments are imprecise. We use credal sets to model the uncertainty values of arguments and from these credal sets, we calculate the lower and upper bounds of the extensions. We study some properties of the suggested approach and illustrate it with an scenario of decision making.

Place, publisher, year, edition, pages
Springer, 2019. p. 39-49
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11726
Keywords [en]
Abstract argumentation, Imprecise probability, Credal sets
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-163618DOI: 10.1007/978-3-030-29765-7_4ISBN: 978-3-030-29764-0 (print)ISBN: 978-3-030-29765-7 (electronic)OAI: oai:DiVA.org:umu-163618DiVA, id: diva2:1355582
Conference
15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2019), Belgrade, Serbia, 18–20 September, 2019
Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-10-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records BETA

Nieves, Juan Carlos

Search in DiVA

By author/editor
Nieves, Juan Carlos
By organisation
Department of Computing Science
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 78 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf