A New Labelling Algorithm For Generating Preferred Extensions Of Abstract Argumentation Frameworks

PROCEEDINGS OF THE 21ST INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1(2019)

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摘要
The field of computational models of argument aims to provide support for automated reasoning through algorithms that operate on arguments and attack relations between them. In this paper we present a new labelling algorithm that lists all preferred extensions of an abstract argumentation framework. The new algorithm is enhanced by a new pruning strategy. We verified our new labelling algorithm and showed that it enumerates preferred extensions faster than the old labelling algorithm.
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关键词
Abstract Argumentation, Argumentation Semantics, Labelling Semantics, Argumentation Algorithm, Labelling Algorithm, Preferred Semantics
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