Algorithms and Complexity Results for Persuasive Argumentation
Eun Jung Kim, Sebastian Ordyniak, Stefan Szeider

TL;DR
This paper investigates the computational complexity of acceptance problems in value-based argumentation systems, identifying classes where these problems are tractable and refuting previous conjectures of tractability.
Contribution
It introduces structural restrictions that delineate tractable classes of value-based argumentation systems and disproves earlier conjectures of tractability for certain classes.
Findings
Identifies polynomial-time tractable classes based on structural restrictions.
Shows intractability of acceptance problems in some previously conjectured tractable classes.
Provides complexity analysis for value-based argumentation systems.
Abstract
The study of arguments as abstract entities and their interaction as introduced by Dung (Artificial Intelligence 177, 1995) has become one of the most active research branches within Artificial Intelligence and Reasoning. A main issue for abstract argumentation systems is the selection of acceptable sets of arguments. Value-based argumentation, as introduced by Bench-Capon (J. Logic Comput. 13, 2003), extends Dung's framework. It takes into account the relative strength of arguments with respect to some ranking representing an audience: an argument is subjectively accepted if it is accepted with respect to some audience, it is objectively accepted if it is accepted with respect to all audiences. Deciding whether an argument is subjectively or objectively accepted, respectively, are computationally intractable problems. In fact, the problems remain intractable under structural…
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