On Nested Justification Systems (full version)
This work is incremental, improving the modularity and explanatory capabilities of justification theory for researchers in formal semantics and knowledge representation.
The paper addresses the loss of explanatory information in the original semantics of nested justification systems, an extension of justification theory for rule-based languages, by providing an equivalent alternative characterization and demonstrating its application to represent fixpoint definitions.
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).