Justification theory is a general framework for the definition of semantics of rule-based languages that has a high explanatory potential. Nested justification systems, first introduced by Denecker et al. (2015), allow for the composition of justification systems. This notion of nesting thus enables the modular definition of semantics of rule-based languages, and increases the representational capacities of justification theory. As we show in this paper, the original semantics for nested justification systems lead to the loss of information relevant for explanations. In view of this problem, we provide an alternative characterization of semantics of nested justification systems and show that this characterization is equivalent to the original semantics. Furthermore, we show how nested justification systems allow representing fixpoint definitions (Hou and Denecker 2009).
翻译:理由理论是界定基于规则的语文的语义的一般框架,具有很高的解释潜力。首先由Denecker等人(2015年)引进的内嵌理由解释系统允许解释系统的构成。这种嵌套概念因此能够对基于规则的语文的语义进行模块化定义,并增加解释理论的代表性能力。正如我们在本文件中所表明的那样,嵌套解释系统的原始语义导致丢失与解释相关的信息。鉴于这一问题,我们提供了对嵌套理由系统的语义的替代定性,并表明这种定性等同于原始语义。此外,我们展示了嵌套理由系统如何允许代表定点定义(Hou和Denecker,2009年)。