Complexity of Semi-Stable Semantics in Abstract Dialectical Frameworks

Atefeh Keshavarzi Zafarghandi, Johannes Peter Wallner

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Abstract dialectical frameworks (ADFs) have been introduced as a formalism for modeling and evaluating argumentation, allowing for general logical acceptance conditions of arguments. Different criteria used to settle the acceptance of arguments are called semantics. Two-valued semantics of ADFs reflect the ‘black-and-white’ character of classical logic in non-monotonic frameworks. Stable semantics of ADFs were introduced to exclude cycles of self-justification of arguments among two-valued models. The stable semantics faces the challenge of potential non-existence of stable models. However, one might still want to draw conclusions even in case that an ADF has no two-valued models or stable models. Recently, the notions of semi-two-valued semantics and semi-stable semantics were introduced for ADFs. In the current work, we study the computational complexity of these two novel semantics. We show that the complexity of the semi-stable semantics is in general one level up in the polynomial hierarchy, compared to the stable semantics. We study the prominent reasoning tasks of credulous and skeptical reasoning, as well as the verification problem.
Original languageEnglish
Title of host publicationProceedings COMMA
EditorsChris Reed, Matthias Thimm, Tjitze Rienstra
PublisherIOS Press
Pages109-120
DOIs
Publication statusPublished - 2024
EventThe 10th International Conference on Computational Models of Argument: COMMA 2024 - Hagen, Germany
Duration: 18 Sept 202420 Sept 2024
https://comma2024.krportal.org/

Publication series

NameFrontiers in Artificial Intelligence and Applications
PublisherIOS Press
Volume388

Conference

ConferenceThe 10th International Conference on Computational Models of Argument
Abbreviated titleCOMMA 2024
Country/TerritoryGermany
CityHagen
Period18/09/2420/09/24
Internet address

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