39 citations · 102 across the 36 of their papers we have counts for
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cs.AI2016
Stratified Knowledge Bases as Interpretable Probabilistic Models (Extended Abstract)
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
In this paper, we advocate the use of stratified logical theories for representing probabilistic models. We argue that such encodings can be more interpretable than those obtained…
cs.AI2016★ 2 cited
Learning Possibilistic Logic Theories from Default Rules
Ondrej Kuzelka, Jesse Davis, Steven Schockaert
We introduce a setting for learning possibilistic logic theories from defaults of the form "if alpha then typically beta". We first analyse this problem from the point of view of m…