October 2014 - rules-users - Jboss List Archives

by Andrew Waterman

Hello, I'm starting to work with the drools-solver to help on a gaming project. Basically, we have a game that works in two modes: 1) a competitive game where humans (or agents) compete with one another on a well defined game board to achieve 24 points by using three (or four) agricultural development tokens. 2. A puzzle, where all 4 players work cooperatively to create an equitable solution, where all 4 players win with at least 24 points by means of our agricultural development tokens. I am starting to work with drools-solver to address the puzzle part of our game. Basically, we are interested in having the solver do two things for us: a) find the optimal solution for our game/puzzle, based upon our requirements [this part seems quite straightforward] and b) getting the total number of solutions that satisfy our constraints. We would like, as well, to be able to inspect these other, sub-optimal, solutions, in order to explore our game and puzzle further. From my reading of the "Solver" API , it looks like we will only be able to get the optimal solution. Does anyone have any suggestions for a workaround in this case? Or is there some functionality in the solver that I am missing? I look forward to your feedback. best wishes, Andrew --------------------------------- Andrew Waterman San Cristóbal de las Casas, Chiapas, Mexico

2 weeks, 3 days

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Build a Graphical Adventure Game in 20 minutes using JBoss Drools : All Hale the Wumpus

by Mark Proctor

http://www.dzone.com/links/build_a_graphical_adventure_game_in_20_minutes... Today we take you on a 20 minute adventure. Building, almost from scratch, a complete graphical adventure game with Drools. The code will be part of the up coming Drools 5.4 release. The game is based on Wumpus World, from the book Artificial Intelligence: a Modern Approach. All Hale the Wumpus Please vote up on the dzone

3 weeks, 4 days

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Need help with setFocus

by new2drools

Hi All, Need some help with understanding setFocus. I have the following use case: if (condition1) { if (condition2) { } else if (condition3) { } else if (condition 4) { } } if (condition5) { if (condition2) { } else if (condition3) { } else if (condition 4) { } } I created 3 rules (rule2, rule3, rule4) for checking condition2, condition3, condition4 and created 1 agenda group (groupX) for them. I created 2 rules (rule1, rule5) for checking condition1, condition5 and created 1 agenda group(groupY) for them. rule "rule1" agenda-group "groupY" when // then drools.setFocus("groupX"); end rule "rule3" agenda-group "groupX" activation-group "someActiveGroup" when // then // end >From the java code: ksession.getAgenda().getAgendaGroup("groupY").setFocus(); Problem: The first time, drools.setFocus("groupX") is invoked, I see that it's working fine. rule2 or rule3 or rule4 get triggered. But, the SECOND time that drools.setFocus("groupX") is invoked, I don't see that any rule in agenda-group groupX is being invoked...even though one of the rule's LHS explicitly matches...thinking that the activation-group is cancelling all the activation's (after one rule in that activation group is fired), I even removed the activation-group statement. But, it didn't help...ideally, I would like to bunch rule2, rule3, rule4 in one activation group. Can you please let me know as to why the second invocation of setFocus is not working? I even tried to remove everything in LHS of rule2/3/4, to see if the second invocation would work...it doesn't... Thanks!! -- View this message in context: http://www.nabble.com/Need-help-with-setFocus-tp24177742p24177742.html Sent from the drools - user mailing list archive at Nabble.com.

1 month, 1 week

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Drools beginner - unable to resolve method using strict-mode

by Stefan Schuster

Hi, I'm new to drools, and I made my first steps using the very nice video-tutorial "Build Pong in 13 minutes using JBoss Drools" found here: http://www.youtube.com/watch?v=Omj4PR3v-nI Eclipse shows building errors, but Pong start anyway. What does this error mean? in move.drl there is following rule: *<rule "Move Bat Up" timer(expr: bat.speed, bat.speed) no-loop when* * ui : PongUI( ready == true )* * ( KeyPressed( keyText == "A" ) and bat : Bat( playerId == PlayerId.PlayerOne, y > pconf.padding + pconf.sideLineWidth )* * or* * KeyPressed( keyText == "K" ) and bat : Bat( playerId == PlayerId.PlayerTwo, y > pconf.padding + pconf.sideLineWidth ) ) * * td : TableDirty( ) * *then * * tableG = ui.getTablePanel().getTableG();* * tableG.setColor( Color.BLACK ); // background* * tableG.fillRect( bat.x, bat.y, bat.width, bat.height );* * * * modify( bat ) { y = bat.y - 2 };* * tableG.setColor( Color.WHITE ); // background* * tableG.fillRect( bat.x, bat.y, bat.width, bat.height ); * * modify( td ) { dirty = true };* *end* the error message is: [Error: unable to resolve method using strict-mode: org.drools.spi.KnowledgeHelper.td<http://org.drools.spi.knowledgehelper.td/> ()] [Near : {... @Modify with( td ) { dirty = true }; ....}] in another File (ui.drl) TableDirty is defined: *declare TableDirty* * @propertyReactive* * dirty : boolean* *end* Any ideas what this error message means? And why can I start pong despite this error? Thanks a lot for helping me Stefan

5 months

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conways game of life

by Mark Proctor

For anyone looking for a good and complex example on how to write rules properly, please look at Conways Game of Life in drools-examples, for extra bonus points compare it to the old version in M1. You'll see nearly all the logic is moved from java to the drl and we have removed the need for nested objects by using objects relaitionally, which also allows us to exploit cross products to drive the application. Mark

5 months

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Red Hat Job Opening - Software Sustaining Engineer

by Mark Proctor

We are looking to hire someone to help improve the quality of BRMS and BPMS platforms. These are the productised versions of the Drools and jBPM open source projects. The role will involve improving our test coverage, diagnosis problems, creating reproducers for problems as well as helping fix them. You’ll also be responsible for helping to setup and maintain our continue integration environment to help streamline the various aspects involved in getting timely high quality releases out. So if you love Drools and jBPM, and want to help make them even better and even more robust - then this is the job for you :) The role is remote, so you can be based almost anywhere. URL to apply now http://jobs.redhat.com/jobs/descriptions/software-engineer-brno-jihomorav... Mark

11 years, 4 months

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many drl

by Jean-Christophe Fortier

Hi, I have a total of 175 drl files and I have memory problems when running my junit tests within eclipse or running with ant. What are the settings for the jvm to handle a high volume of DRL? Thank you Jean-Christophe Fortier Concepteur de logiciel Software Developer first make it work, then make it better [cid:image001.png@01CD3FEF.190AE350] 895 rue De La Gauchetière Ouest, Suite 300, C.P. 48, Montréal (Quebec), H3B 4G1 Tel: 514-636-6365 x.5387 Fax: 514-636-23626

11 years, 4 months

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3 Days until Decision Camp 2014, San Jose (13-15 Oct)

by Mark Proctor

http://www.dzone.com/links/r/3_days_until_decision_camp_2014_san_jose_131... —— Only 3 days to go until Decision Camp 2014 arrives, a free conference in the San Jose area for business rules and decision management practictioners. The conference is multi-track with 3 concurrent tracks at same time. The Decision Camp full agenda can be found here. Like last year RuleML will be participating and presenting, such as Dr. Benjamin Grosof. Which is a great opportunity to catch up on the latest happenings in the rules standards industry. Last year I did a games talk, this year I'm doing something a little more technical, to reflect my current research. Here is my title and abstract. Demystifying Truth Maintenance and Belief Systems Basic Truth Maintenance is a common feature, available in many production rule systems, but it one that is not generally well understood. This talk will start by introducing the mechanics of rule engines and how that is extended for the common TMS implementation. It will discuss the limitations of these systems and introduce Justification based Truth Maintenance (JTMS) as a way to add contradictions, to trigger retractions. This will lead onto Defeasible Logic, which while sounding complex, facilitates the resolving of conflicting rules of premisses and contradictions, in a way that follows typical argumentation theory. Finally we will demonstrate how the core of this can be abstracted to allow pluggable beliefs, so that JTMS and Defeasible can be swapped in and out, along other systems such as Bayesian Belief Systems.

11 years, 4 months

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FW: setup Guvnor in Mac

by Gopu.Shrestha＠wellsfargo.com

I am newbie and want to implement Guvnor, I don't find any great steps wise instruction to setup Guvnor in mac. Can anybody help me out?

11 years, 4 months

2
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10 Days until Decision Camp 2014, San Jose (13-15 Oct)

by Mark Proctor

http://blog.athico.com/2014/10/10-days-until-decision-camp-2014-san.html —— Only 10 days to go until Decision Camp 2014 arrives, a free conference in the San Jose area for business rules and decision management practictioners. The conference is multi-track with 3 concurrent tracks at same time. The Decision Camp full agenda can be found here. Like last year RuleML will be participating and presenting, such as Dr. Benjamin Grosof. Which is a great opportunity to catch up on the latest happenings in the rules standards industry. Last year I did a games talk, this year I'm doing something a little more technical, to reflect my current research. Here is my title and abstract. Demystifying Truth Maintenance and Belief Systems Basic Truth Maintenance is a common feature, available in many production rule systems, but it one that is not generally well understood. This talk will start by introducing the mechanics of rule engines and how that is extended for the common TMS implementation. It will discuss the limitations of these systems and introduce Justification based Truth Maintenance (JTMS) as a way to add contradictions, to trigger retractions. This will lead onto Defeasible Logic, which while sounding complex, facilitates the resolving of conflicting rules of premisses and contradictions, in a way that follows typical argumentation theory. Finally we will demonstrate how the core of this can be abstracted to allow pluggable beliefs, so that JTMS and Defeasible can be swapped in and out, along other systems such as Bayesian Belief Systems.

11 years, 5 months

1
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rules-users October 2014