Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases

The connection between inconsistent databases and Dung’s abstract argumentation framework has recently drawn growing interest. Specifically, an inconsistent database, involving certain types of integrity constraints such as functional and inclusion dependencies, can be viewed as an argumentation framework in Dung’s setting. Nevertheless, no prior work has explored the exact expressive power of Dung’s theory of argumentation when compared to inconsistent databases and integrity constraints. In this paper, we close this gap by arguing that an argumentation framework can also be viewed as an inconsistent database. We first establish a connection between subset-repairs for databases and extensions for AFs considering conflict-free, naive, admissible, and preferred semantics. Further, we define a new family of attribute-based repairs based on the principle of maximal content preservation. The effectiveness of these repairs is then highlighted by connecting them to stable, semi-stable, and stage semantics. Our main contributions include translating an argumentation framework into a database together with integrity constraints. Moreover, this translation can be achieved in polynomial time, which is essential in transferring complexity results between the two formalisms.

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Publication Details

Journal
Proceedings of the AAAI Conference on Artificial Intelligence
Published
2025-04-11
DOI
https://doi.org/10.1609/aaai.v39i14.33651
Citations
1
Primary Topic
Global Education and Multiculturalism
Type
article
Field-Weighted Citation Impact
12.19

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article

Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases

Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, Markus Hecher
1 citations
Proceedings of the AAAI Conference on Artificial Intelligence
Global Education and Multiculturalism
12.19
article

Dung’s Argumentation Framework: Unveiling the Expressive Power with Inconsistent Databases

Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, Markus Hecher
article en
1 citations

Abstract

The connection between inconsistent databases and Dung’s abstract argumentation framework has recently drawn growing interest. Specifically, an inconsistent database, involving certain types of integrity constraints such as functional and inclusion dependencies, can be viewed as an argumentation framework in Dung’s setting. Nevertheless, no prior work has explored the exact expressive power of Dung’s theory of argumentation when compared to inconsistent databases and integrity constraints. In this paper, we close this gap by arguing that an argumentation framework can also be viewed as an inconsistent database. We first establish a connection between subset-repairs for databases and extensions for AFs considering conflict-free, naive, admissible, and preferred semantics. Further, we define a new family of attribute-based repairs based on the principle of maximal content preservation. The effectiveness of these repairs is then highlighted by connecting them to stable, semi-stable, and stage semantics. Our main contributions include translating an argumentation framework into a database together with integrity constraints. Moreover, this translation can be achieved in polynomial time, which is essential in transferring complexity results between the two formalisms.

Proceedings of the AAAI Conference on Artificial IntelligenceVol. 39(14)
Centre National de la Recherche Scientifique (FR), Paderborn University (DE), Centre de Recherche en Informatique (FR), Université d'Artois (FR)
European Commission, Deutsche Forschungsgemeinschaft, Vienna Science and Technology Fund, Austrian Science Fund, Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 4%
Global Education and Multiculturalism
12.19
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