Algorithms for computing the set of acceptable arguments

We investigate the computational problem of determining the set of acceptable arguments in abstract argumentation wrt. credulous and skeptical reasoning under grounded, complete, stable, and preferred semantics. In particular, we investigate the computational complexity of that problem and its verification variant, and develop several algorithms for all problem variants, including two baseline approaches based on iterative acceptability queries and extension enumeration, and some optimised versions. We experimentally compare the runtime performance of these algorithms: our results show that our newly optimised algorithms significantly outperform the baseline algorithms in most cases.

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Publication Details

Journal
International Journal of Approximate Reasoning
Published
2025-05-26
DOI
https://doi.org/10.1016/j.ijar.2025.109478
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00

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article

Algorithms for computing the set of acceptable arguments

Lars Bengel, Federico Cerutti, Matthias Thimm, Mauro Vallati
International Journal of Approximate Reasoning
Multi-Agent Systems and Negotiation
article

Algorithms for computing the set of acceptable arguments

Lars Bengel, Federico Cerutti, Matthias Thimm, Mauro Vallati
article en

Abstract

We investigate the computational problem of determining the set of acceptable arguments in abstract argumentation wrt. credulous and skeptical reasoning under grounded, complete, stable, and preferred semantics. In particular, we investigate the computational complexity of that problem and its verification variant, and develop several algorithms for all problem variants, including two baseline approaches based on iterative acceptability queries and extension enumeration, and some optimised versions. We experimentally compare the runtime performance of these algorithms: our results show that our newly optimised algorithms significantly outperform the baseline algorithms in most cases.

International Journal of Approximate ReasoningVol. 185
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 95%
Multi-Agent Systems and Negotiation
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