ProbLog2 is our second generation engine to reason with the ProbLog language. The current engine builds on logic programming, knowledge compilation, the distribution semantics and probabilistic, graphical models. It allows you to:
- Compute marginal probabilities of any number of ground atoms in the presence of evidence.
- Learn the parameters of the ProbLog program from partial interpretations.
There's one thing I've always wanted to ask though - the first verison of Problog was implemented in Prolog and distributed as a library for YAP. How come Problog2 is implemented in Python? It's a probabilistic Prolog so I'd have thought Prolog would be the natural choice for it? Especially so coming from Ku-Leuven!
ProbLog2 is our second generation engine to reason with the ProbLog language. The current engine builds on logic programming, knowledge compilation, the distribution semantics and probabilistic, graphical models. It allows you to:
- Compute marginal probabilities of any number of ground atoms in the presence of evidence.
- Learn the parameters of the ProbLog program from partial interpretations.
-Sample from a ProbLog program.
-Solve decision theoretic problems