论文标题
逐渐论证
Many-valued Argumentation, Conditionals and a Probabilistic Semantics for Gradual Argumentation
论文作者
论文摘要
在本文中，我们提出了一种通用方法来定义对渐进论证语义的多元值的优先解释。该方法允许通过验证对优先解释的分级（严格或不稳定的）含义，对参数的有条件推理，与一类逐渐的语义相结合。作为概念的证明，在有限评价的情况下，提出了一种答案集编程方法，用于在加权论证图的多个评估论证语义中进行有条件推理。该论文还开发并讨论了逐渐论证的概率语义，该语义是建立在许多价值的条件语义上的。
In this paper we propose a general approach to define a many-valued preferential interpretation of gradual argumentation semantics. The approach allows for conditional reasoning over arguments and boolean combination of arguments, with respect to a class of gradual semantics, through the verification of graded (strict or defeasible) implications over a preferential interpretation. As a proof of concept, in the finitely-valued case, an Answer set Programming approach is proposed for conditional reasoning in a many-valued argumentation semantics of weighted argumentation graphs. The paper also develops and discusses a probabilistic semantics for gradual argumentation, which builds on the many-valued conditional semantics.
