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

[rjr201]

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. 



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