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

AAAI 2025 · Learning theory and algorithms › Combinatorial and search optimization · approach: Logic and answer set programming theory · 0 citations (OpenAlex)

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Shows that Dung abstract argumentation frameworks can be translated in polynomial time into inconsistent databases with functional and inclusion dependencies, relating AF semantics to subset and attribute-based (covering) repairs.

Problem

The exact expressive power of Dung's abstract argumentation frameworks relative to inconsistent databases and integrity constraints was unexplored; prior work only translated databases into AFs.

Approach

Encode each argument as a tuple, attacks as FDs (conflict database via edge-coloring with at most degree+1 FDs) and defense as IDs (defense database), so that conflict-free, naive, admissible and preferred extensions correspond to subset repairs; additionally define maximal content-preserving (covering) attribute-based repairs that match stable, semi-stable and stage semantics.

Key results

Surprising findings

Limitations

Experimental setup

Builds on: Dung's abstract argumentation framework subset repairs for inconsistent databases Vizing's theorem

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