Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence 2021
DOI: 10.24963/ijcai.2021/272
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On the Relation Between Approximation Fixpoint Theory and Justification Theory

Abstract: Approximation Fixpoint Theory (AFT) and Justification Theory (JT) are two frameworks to unify logical formalisms. AFT studies semantics in terms of fixpoints of lattice operators, and JT in terms of so-called justifications, which are explanations of why certain facts do or do not hold in a model. While the approaches differ, the frameworks were designed with similar goals in mind, namely to study the different semantics that arise in (mainly) non-monotonic logics. The First contribution of our current paper i… Show more

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Cited by 3 publications
(3 citation statements)
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“…The basic idea is to compress a nested justification system in a regular justification system, starting from the leaves of the nesting tree and iteratively moving up. In a compressible nested system, the branch evaluations of subsystems are parametric and hence we know (by Proposition 3 of Marynissen et al 2021) that, if the interpretation of the open facts is fixed, there is a unique model in which the value of a fact depends solely on the values of the opens. Therefore, the model can be represented by a set of rules for which the body contains only open facts.…”
Section: Compression-based Characterisation Of Semantics For Nested S...mentioning
confidence: 99%
See 1 more Smart Citation
“…The basic idea is to compress a nested justification system in a regular justification system, starting from the leaves of the nesting tree and iteratively moving up. In a compressible nested system, the branch evaluations of subsystems are parametric and hence we know (by Proposition 3 of Marynissen et al 2021) that, if the interpretation of the open facts is fixed, there is a unique model in which the value of a fact depends solely on the values of the opens. Therefore, the model can be represented by a set of rules for which the body contains only open facts.…”
Section: Compression-based Characterisation Of Semantics For Nested S...mentioning
confidence: 99%
“…The basic idea is to compress a nested justification system in a regular justification system, starting from the leaves of the nesting tree and iteratively moving up. In a compressible nested system, the branch evaluations of subsystems are parametric and hence we know (by Proposition 3 of Marynissen et al 2021)…”
Section: Compression-based Characterisation Of Semantics For Nested S...mentioning
confidence: 99%
“…We present the core definitions of justification theory, based on the formalization of Marynissen et al [11,12].…”
Section: Preliminariesmentioning
confidence: 99%