How to Combine AGI Logic and Probabilistic Statistical Reasoning?

One of the big questions is how to combine fuzzy sort of probabilistic statistical reasoning with very discrete logical reasoning. That's one of the big open questions towards AGI that nobody has really, I think, in a principled way solved or even tackled yet. So it would be really interesting to basically give it modules that have different inducted biases and have it learned to use them as tools.