Towards an Imprecise Probability Approach forAbstract Argumentation

In some abstract argumentation framework (AAF), arguments have a degree of uncertainty, which impacts on the degreeof uncertainty of the extensions obtained under a semantics. In these approaches, both the uncertainty of the arguments and of the extensions are modeled by means of precise probability...

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Bibliographic Details
Published inECAI 2020 p. 2921
Main Authors Morveli-Espinoza, Mariela, Nieves, Juan Carlos, Augusto Tacla, Cesar
Format Conference Proceeding
LanguageEnglish
Published 2020
SeriesFrontiers in Artificial Intelligence and Applications (FAIA)
Subjects
Computer Science
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Summary:In some abstract argumentation framework (AAF), arguments have a degree of uncertainty, which impacts on the degreeof uncertainty of the extensions obtained 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 unknownand sometimes there is a need for aggregating the probability valuesof different sources. In this paper, we tackle the problem of calculat-ing the degree of uncertainty of the extensions considering that theprobability values of the arguments are imprecise
ISBN:9781643681009
164368101X
9781643681016
1643681001
DOI:10.3233/FAIA200454