Re: [rules-users] How does drools provides an explanation of how the solution was arrived?

This is a statement about the nature of rules engines in general. Rules engines are made up of human readable rules, as opposed to say a neural network where the knowledge isn't explicitly represented (it's a big black box of maths). A rules engine is symbolic, a neural network sub-symbolic. A neural network can give you an answer, but not a justification of why. People like rules engines because (when done properly) they can see why it has given the answer it has given. To answer your question, to get a explanation of what the rules engine did, you could insert a logging object as a global into your rules session and then add a log statement in the conclusion of each rule. -- View this message in context: http://drools.46999.n3.nabble.com/How-does-drools-provides-an-explanation... Sent from the Drools: User forum mailing list archive at Nabble.com.