作者: Remi Brochenin , Thomas Linsbichler , Marco Maratea , Johannes P. Wallner , Stefan Woltran
DOI: 10.3233/AAC-170031
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摘要: Abstract solvers are a quite recent method to uniformly describe algorithms in rigorous formal way and have proven successful declarative paradigms such as Propositional Satisfiability Answer Set Programming. In this paper, we apply machinery for the first time dedicated AI formalism, namely Dung’s abstract argumentation frameworks. We provide descriptions of several advanced preferred semantics terms and, moreover, show how slight adaptions thereof directly lead new algorithms.