> Date: Tue, 3 Jan 2012 06:55:02 -0800
> From: dsotty@gmail.com
> To: rules-users@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-information-from-the-content-of-the-rules-tp3625961p3629294.html
> Sent from the Drools: User forum mailing list archive at Nabble.com.
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