Semantics for Evidence-Based Argumentation

摘要: The identification of consistent sets arguments is one the most important concerns in development computational models argument. Such extensions drive defeasible reasoning process. In this paper we present a novel framework that offers semantics for argumentation-based grounded an intuitive notion evidence. building model evidence-based argumentation, first show how evidential support and attack against argument by multiple can be represented. Secondly, propose new set extensions, referred to as preferred, e-stable, e-grounded extensions. These are similar those Dung's original model, but modified cater Our approach involves defining attack, showing acceptability admissibility follow on from it. capture cannot accepted unless it supported evidence, will therefore increase utility argumentation part system.