any artificial intelligence would have to model itself on what we know about human neural information processing and that machine reasoning under uncertainty would have to be constructed with a similar message-passing architecture. But what are the messages? This took me quite a few months to figure out. I finally realized that the messages were conditional probabilities in one direction and likelihood ratios in the other.
