Re: [rules-users] Extracting management information from the content of the rules

Date: Tue, 3 Jan 2012 06:55:02 -0800 From: dsotty(a)gmail.com To: rules-users(a)lists.jboss.org Subject: Re: [rules-users] Extracting management information from the content of the rules As I suspected - or feared :) Two issues here: Drools creates an abstract model for the LHS but not for the RHS. This mean that extracting the discount from the RHS will be doable, but hardly elegant. The other is that you want to meta-reason on the rules. Drools verifier might indeed give you ideas. It is a tool to extract a meta-representation of a rule and process that as a fact, using meta-rules. Unfortunately, you would have to write your own analysis and reporting meta-rules. Given the nature of your constraints, it seems that they would be equivalent - or close enough - to a decision tree/table. We already generate rules from DTs: I mentioned to manstis the possibility of supporting the inverse transformation. It's not too hard, but will not probably be ready and available in Guvnor before the next version. Keep chasing him, if this would In alternative, maybe the "Monte Carlo" approach could be used: generate a huge amount of random objects, process them, serialize them with their original and final price and finally use some data mining tool (R, weka, knime, etc..). Other options (constraint propagation, semantic classification, etc..) might require to modify the rules, so I'm not sure that they would be feasible at all. We can discuss if interested, of course. -- View this message in context: http://drools.46999.n3.nabble.com/Re-rules-users-Extracting-management-in... Sent from the Drools: User forum mailing list archive at Nabble.com. _______________________________________________ rules-users mailing list rules-users(a)lists.jboss.org https://lists.jboss.org/mailman/listinfo/rules-users