Mohammed Elaroussi, Lhouari Nourine, Mohammed Said Radjef
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The main purpose of this article is to develop a lattice point of view for the study of argumentation framework extensions. We first characterize self-defending sets of an argumentation framework by the closed sets of an implicational system that can be computed in polynomial time from the argumentation framework. On the other hand, for any implicational system \(\Sigma \) over the set of arguments, we associate an argumentation framework whose admissible sets are in bijection with closed sets of \(\Sigma \). Second, we propose conflict-closed sets reduction rules, based on implicational system, to find out minimal subsets of vertex cover closed while maintaining all potential admissible extensions as well as preferred extensions. This leads to a polynomial delay and space algorithm to enumerate admissible sets of argumentation frameworks without even cycles. Finally, based on the implicational system, a new decomposition of the argumentation framework is defined and leads to a polynomial delay and space algorithm to enumerate admissible sets for a bipartite argumentation framework. The proposed algorithm improves the exponential space complexity of previous algorithms.
期刊介绍:
Annals of Mathematics and Artificial Intelligence presents a range of topics of concern to scholars applying quantitative, combinatorial, logical, algebraic and algorithmic methods to diverse areas of Artificial Intelligence, from decision support, automated deduction, and reasoning, to knowledge-based systems, machine learning, computer vision, robotics and planning.
The journal features collections of papers appearing either in volumes (400 pages) or in separate issues (100-300 pages), which focus on one topic and have one or more guest editors.
Annals of Mathematics and Artificial Intelligence hopes to influence the spawning of new areas of applied mathematics and strengthen the scientific underpinnings of Artificial Intelligence.