Structure-Based Algorithms for Computing Preferred Arguments of Defeasible Knowledge Bases

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Abstract

In this paper we present several efficient computational procedures for defeasible reasoning while the plausible and well-defined semantics, viz.preferred models and stable models, are not given up. The proposed algorithms exploit the structural information of defeasible knowledge bases to facilitate efficient computational models.