A Versatile Framework for Formula-Based Enforcement and Synthesis in Abstract Argumentation
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Main Track. Pages 3970-3978.
https://doi.org/10.24963/ijcai.2026/442
Keywords
- Knowledge Representation and Reasoning: Argumentation
Abstract
Argumentation dynamics provides techniques for revising argumentation theories in real-world domains (e.g., an autonomous medical diagnostic agent). Within this context, enforcement in abstract argumentation has become a prominent topic. Enforcement aims to modify an argumentation framework to satisfy given acceptability conditions while minimizing change from the original framework. Motivated by the need to address both syntactic and semantic notions of change, we propose formula-based enforcement, a generic framework that strictly generalizes existing approaches, by additionally covering cases they cannot handle, including semantic change. We analyze its complexity under central argumentation semantics, obtaining results from NP-completeness to completeness for the third level of the polynomial hierarchy. For second-level complete variants, we present an exact procedure based on MaxSAT solving and counterexample-guided abstraction refinement (CEGAR), and evaluate it empirically.
@inproceedings{ijcai2026p442,
title = {A Versatile Framework for Formula-Based Enforcement and Synthesis in Abstract Argumentation},
author = {Niskanen, Andreas and Mailly, Jean-Guy and Dimopoulos, Yannis and Moraitis, Pavlos},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {3970--3978},
year = {2026},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2026/442},
url = {https://doi.org/10.24963/ijcai.2026/442},
}
TY - CPAPER TI - A Versatile Framework for Formula-Based Enforcement and Synthesis in Abstract Argumentation AU - Niskanen, Andreas AU - Mailly, Jean-Guy AU - Dimopoulos, Yannis AU - Moraitis, Pavlos T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 3970 EP - 3978 DO - 10.24963/ijcai.2026/442 UR - https://doi.org/10.24963/ijcai.2026/442 ER -Copied
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