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.Papers
How do DNs work? Navigate through our tutorials and find out all the benefits of this elegant framework.Tutorials
Play with DNs and have fun helping Darwin to "explain away" evolution.DNs Lab