Um , it sounds to me like you want P R
P R Ms - uh , PRM I mean , since you can unfold a PRM into a straightforward Bayes - net
Beca - because it  b because  No , no , you can't. See the  the critical thing about the PRM is it gives these relations in general form. So once you have instantiated the PRM with the instances and ther then you can  then you can unfold it.
Then you can. Mm - hmm , yeah. No , I was m using it generic. So , uh , probabilistic , whatever , relational models. Whatever you write it. In