作者: Federico Cerutti , Paul E. Dunne , Massimiliano Giacomin , Mauro Vallati
DOI: 10.1007/978-3-642-54373-9_12
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摘要: This paper presents a novel SAT-based approach for the computation of extensions in abstract argumentation, with focus on preferred semantics, and an empirical evaluation its performances. The is based idea reducing problem computing complete to SAT then using depth-first search method derive extensions. proposed has been tested two distinct solvers compared three state-of-the-art systems extension computation. It turns out that delivers significantly better performances large majority considered cases.