From lifted inference to lifted models

摘要

In this position paper we raise the question whether lifted inference can be performed by 'lifting' the probabilistic model rather than the inference algorithm. We show that this is indeed possible using so-called count models, at least for the common examples used within the exact lifting literature. The challenge is to turn this into a general approach.