surprisingly simple, remarkably robust

Darwinian networks (DNs) are introduced to simplify reasoning with Bayesian networks (BNs).

DNs represent the probability tables in a model. The graphical manipulation of the tables then takes on a biological feel.

It is shown how DNs can unify modeling and reasoning tasks into a single network.

Here are a few papers describing how DNs can represent the testing of independencies using d-separation and m-separation, and belief update using VE, AR, and LP.

PapersHow do DNs work? Navigate through our tutorials and find out all the benefits of this elegant framework.

Tutorials