Looks like #drools-planner doesn't work as a twitter tag, so #droolsplanner it is (might not be updated yet): http://twitter.com/search?q=%23droolsplanner
With kind regards, Geoffrey De Smet Geoffrey De Smet schreef: > I am thinking the same thing. Flow and guvnor questions also come > through this list. > > I 'll ask in the planner manual to put [planner] in front of your subject :) > PS: I 'll also make a twitter hash tag: #drools-planner > > By the way, Micheal did you see my reply on this thread too, about the > global Score refactor? > > With kind regards, > Geoffrey De Smet > > > Swindells, Thomas schreef: >> I'd vote to keep it on here, the traffic isn't that high and people like me >> can learn about what other features exist. Plus it makes searching for >> answers so much easier. >> >> Thomas >> >>> -----Original Message----- >>> From: [email protected] [mailto:rules-users- >>> [email protected]] On Behalf Of Michael Neale >>> Sent: 08 January 2010 01:21 >>> To: Rules Users List >>> Subject: Re: [rules-users] Planner/solver - POSITIVE scoring... >>> >>> yeah that is it. >>> >>> BTW - is it ok to chat about planner here - is there enough interest >>> to create a separate list for it if needed? (or is traffic low enough >>> people aren't troubled?). >>> >>> On Fri, Jan 8, 2010 at 3:11 AM, Greg Barton <[email protected]> wrote: >>>> So, basically what you're saying is, "The impact of a given negative soft >>> constraint is reduced by the occurrence of another positive constraint." >>>> If that's the case, the rule makes sense to me: total up the occurrences of >>> the negative constraint, total up the occurrences of the positive >>> constraint, >>> and then combine them in a way that describes their relationship. >>>> In this case, what the positive constraint "favors" is the reduction or >>> elimination of the negative constraint, so subtracting the positive >>> constraint >>> makes sense. (A classic "interference pattern" situation.) >>>> --- On Thu, 1/7/10, Michael Neale <[email protected]> wrote: >>>> >>>>> From: Michael Neale <[email protected]> >>>>> Subject: [rules-users] Planner/solver - POSITIVE scoring... >>>>> To: "Rules Users List" <[email protected]>, "Geoffrey" >>> <[email protected]> >>>>> Date: Thursday, January 7, 2010, 12:23 AM >>>>> Hi All - FYI I have been conversing >>>>> with Geoffrey on basic >>>>> solver/planner usage questions, but we are bring the >>>>> discussion here >>>>> in case others can benefit. >>>>> >>>>> So I am looking at using IntConstraintOccurrence, for >>>>> scoring with >>>>> weights, and HardAndSoftConstraintScoreCalculator. So I can >>>>> see how >>>>> NEGATIVE_HARD and NEGATIVE_SOFT scores would work, with >>>>> appropriate >>>>> accumulator rules doing that etc. >>>>> >>>>> What I am not sure about is ConstraintType.POSITIVE - so I >>>>> want to use >>>>> that to "favour" certain aspects of a solution. So would >>>>> the correct >>>>> way to use that to be to have rules that use a positive >>>>> IntConstrainOccurrence, and then do something like: >>>>> >>>>> when >>>>> $softTotal : Number() from >>>>> accumulate( >>>>> >>>>> IntConstraintOccurrence(constraintType == >>>>> ConstraintType.NEGATIVE_SOFT, $weight : weight), >>>>> sum($weight) // >>>>> Vote for >>>>> http://jira.jboss.com/jira/browse/JBRULES-1075 >>>>> ); >>>>> $positiveTotal: Number() >>>>> from accumulate( >>>>> >>>>> IntConstraintOccurrence(constraintType == >>>>> ConstraintType.POSITIVE, $weight : weight), >>>>> sum($weight) // >>>>> Vote for >>>>> http://jira.jboss.com/jira/browse/JBRULES-1075 >>>>> ); >>>>> >>>>> then >>>>> >>>>> scoreCalculator.setSoftConstraintsBroken($softTotal.intValue() >>>>> - $positiveTotal.intValue()); >>>>> >>>>> >>>>> >>>>> ?? it seems odd - I want to use POSITIVE but I am using it >>>>> to reduce >>>>> the soft constraints broken? The the higher the positive >>>>> score, the >>>>> less softConstraintsBroken property of the score calculator >>>>> is set - >>>>> that seems odd... or should I not use HardAndSoft if I am >>>>> using >>>>> POSITIVE and NEGATIVE scoring? >>>>> >>>>> >>>>> -- >>>>> Michael D Neale >>>>> home: www.michaelneale.net >>>>> blog: michaelneale.blogspot.com >>>>> _______________________________________________ >>>>> rules-users mailing list >>>>> [email protected] >>>>> https://lists.jboss.org/mailman/listinfo/rules-users >>>>> >>>> >>>> >>>> _______________________________________________ >>>> rules-users mailing list >>>> [email protected] >>>> https://lists.jboss.org/mailman/listinfo/rules-users >>>> >>> >>> -- >>> Michael D Neale >>> home: www.michaelneale.net >>> blog: michaelneale.blogspot.com >>> >>> _______________________________________________ >>> rules-users mailing list >>> [email protected] >>> https://lists.jboss.org/mailman/listinfo/rules-users >> >> ************************************************************************************** >> This message is confidential and intended only for the addressee. 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