强可接受性的可实现算法

Martin Caminada, Sri Harikrishnan
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引用次数: 0

摘要

就像可接受性是首选语义学的关键概念一样,强可接受性也是基础语义学的关键概念,因为强可接受性集合的成员资格足以证明基础扩展的成员资格。因此,强可接受性集合和标签可以用来解释接地扩展的成员资格,例如,接地语义学的一些证明程序就是这样做的。在本文中,我们提出了两种多项式算法,用于为特定论证构建相对较小的强容许标注以及相关的最小-最大编号。这些标注可用作该论证属于基础扩展的相对较小的解释。尽管我们的算法并不能保证为论证生成绝对最小的强容许标注(因为这样做将意味着指数级的复杂度),但我们性能最好的算法生成的结果仅略微大一些。此外,该算法的运行时间比现有方法计算特定论点的绝对最小强容许标注的运行时间要少一个数量级。因此,我们相信我们的算法在以省时高效的方式构建最小或接近最小的强可接受性标注为目标的情况下具有实用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tractable algorithms for strong admissibility
Much like admissibility is the key concept underlying preferred semantics, strong admissibility is the key concept underlying grounded semantics, as membership of a strongly admissible set is sufficient to show membership of the grounded extension. As such, strongly admissible sets and labellings can be used as an explanation of membership of the grounded extension, as is for instance done in some of the proof procedures for grounded semantics. In the current paper, we present two polynomial algorithms for constructing relatively small strongly admissible labellings, with associated min–max numberings, for a particular argument. These labellings can be used as relatively small explanations for the argument’s membership of the grounded extension. Although our algorithms are not guaranteed to yield an absolute minimal strongly admissible labelling for the argument (as doing so would have implied an exponential complexity), our best performing algorithm yields results that are only marginally larger. Moreover, the runtime of this algorithm is an order of magnitude smaller than that of the existing approach for computing an absolute minimal strongly admissible labelling for a particular argument. As such, we believe that our algorithms can be of practical value in situations where the aim is to construct a minimal or near-minimal strongly admissible labelling in a time-efficient way.
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