reading from file extraamasPOC.jcm ...
file extraamasPOC.jcm parsed successfully!

Executing /usr/lib/jvm/java-8-openjdk/jre/../bin/java -classpath /media/Data/developpement/ethicalHFT/jacamo-0.7-save/libs/ant-launcher-1.10.1.jar org.apache.tools.ant.launch.Launcher -e -f bin/extraamasPOC.xml run
Buildfile: /home/nicolas/Documents/BEHAVE/src/extraamas/bin/extraamasPOC.xml

init:

user-init:

compile:
Compiling 2 source files to /home/nicolas/Documents/BEHAVE/src/extraamas/bin/classes

run:
Running project extraamasPOC
CArtAgO Http Server running on http://127.0.0.1:3273[JaCaMoLauncher] Workspace obfuscationPOC created.

[JaCaMoLauncher] artifact world: extraamasPOC.OfficeBuilding() at obfuscationPOC created.
Jason Http Server running on http://127.0.0.1:3272
[onlooker] hello world.
[obfuscatorSnack] hello world.
[transparentCoffee] hello world.
ADD onlooker
ADD randomSnack
ADD obfuscatorSnack
ADD randomBook
ADD obfuscatorBook
ADD obfuscatorCoffee
ADD randomCoffee
ADD transparentCoffee
[obfuscatorCoffee] hello world.
[obfuscatorBook] hello world.
[transparentBook] hello world.
[transparentSnack] hello world.
ADD transparentBook
ADD transparentSnack
[randomSnack] hello, I will have a snack
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[randomCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[transparentCoffee] hello, I will have a coffee break
[obfuscatorCoffee] hello, I will have a coffee break
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[transparentSnack] hello, I will have a snack
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
onlooker has achieved its goal
[onlooker] Agent=randomBook T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10317]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10317],haveCoffeeBreak]],[[[goToThirdFloor,10317],haveSnack]],[[[goToThirdFloor,10317],improveSOTA]]]
[onlooker] Agent=randomSnack T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10319]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToThirdFloor,10319],haveSnack]],[[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10305 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10320]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=transparentBook T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10326]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToThirdFloor,10326],haveSnack]],[[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10328]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10328],haveCoffeeBreak]],[[[goToThirdFloor,10328],haveSnack]],[[[goToThirdFloor,10328],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10305 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10339]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10339],haveCoffeeBreak]],[[[goToGroundFloor,10339],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10346]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToThirdFloor,10346],haveSnack]],[[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10305 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10346]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10346],haveCoffeeBreak]],[[[goToGroundFloor,10346],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10305 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10346]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToThirdFloor,10346],haveSnack]],[[[goToThirdFloor,10346],improveSOTA]]]
[randomCoffee] I move to the ground floor
[randomSnack] I move to the third floor
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[obfuscatorBook] I move to the third floor
[transparentSnack] I move to the ground floor
[obfuscatorSnack] I move to the third floor
[transparentCoffee] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=randomCoffee T=15229 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15322]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=randomSnack T=15229 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buySnack,15323]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomBook T=15229 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10317],[takeBook,15329]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]]]
[onlooker] Agent=transparentBook T=15330 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15332]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15330 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10328],[takeBook,15333]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15330 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10339],[buySnack,15343]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15330 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buySnack,15349]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15330 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10346],[buyCoffee,15353]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15330 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buyCoffee,15360]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]]]
[randomCoffee] I buy a coffe
[randomSnack] I buy a snack
[randomBook] I take a book
[obfuscatorBook] I take a book
[transparentBook] I take a book
[obfuscatorSnack] I buy a snack
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=randomSnack T=20269 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buySnack,15323],[goToSecondFloor,20326]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20269 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15322],[goToSecondFloor,20327]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=randomBook T=20269 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10317],[takeBook,15329],[goToSecondFloor,20331]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]]]
[onlooker] Agent=transparentBook T=20269 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15332],[goToSecondFloor,20342]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20269 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10328],[takeBook,15333],[goToSecondFloor,20342]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]],[[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]],[[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20269 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buySnack,15349],[goToSecondFloor,20353]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20269 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10339],[buySnack,15343],[goToSecondFloor,20355]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[goToSecondFloor,20355],haveSnack],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[goToSecondFloor,20355],improveSOTA],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]],[[[goToSecondFloor,20355],haveSnack],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]],[[[goToSecondFloor,20355],improveSOTA],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20269 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10346],[buyCoffee,15353],[goToSecondFloor,20368]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20368],haveCoffeeBreak],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20368],haveSnack],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20368],improveSOTA],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20368],haveCoffeeBreak],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]],[[[goToSecondFloor,20368],haveSnack],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]],[[[goToSecondFloor,20368],improveSOTA],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20371 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buyCoffee,15360],[goToSecondFloor,20373]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]]]
[randomCoffee] I move to the second floor
[randomSnack] I move to the second floor
[randomBook] I move to the second floor
[obfuscatorBook] I move to the second floor
[transparentBook] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomCoffee T=25291 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15322],[goToSecondFloor,20327],[drinkCoffee,25330]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[drinkCoffee,25330],haveCoffeeBreak],[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15322],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=randomBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10317],[takeBook,15329],[goToSecondFloor,20331],[readBook,25332]] of agent randomBook with the 9 possible explanations : [[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15329],improveSOTA],[[goToThirdFloor,10317],improveSOTA]]]
[onlooker] Agent=randomSnack T=25291 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buySnack,15323],[goToSecondFloor,20326],[eatSnack,25335]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],haveSnack]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],haveSnack],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]],[[[eatSnack,25335],haveSnack],[[goToSecondFloor,20326],improveSOTA],[[buySnack,15323],haveSnack],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10328],[takeBook,15333],[goToSecondFloor,20342],[readBook,25347]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15333],improveSOTA],[[goToThirdFloor,10328],improveSOTA]]]
[onlooker] Agent=transparentBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15332],[goToSecondFloor,20342],[readBook,25350]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveCoffeeBreak],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],haveSnack],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20342],improveSOTA],[[takeBook,15332],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25291 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10339],[buySnack,15343],[goToSecondFloor,20355],[eatSnack,25369]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],haveSnack],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],improveSOTA],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],haveSnack],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20355],improveSOTA],[[buySnack,15343],haveSnack],[[goToGroundFloor,10339],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25291 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10346],[buyCoffee,15353],[goToSecondFloor,20368],[drinkCoffee,25380]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],haveCoffeeBreak],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],haveSnack],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],improveSOTA],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],haveCoffeeBreak],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]],[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],haveSnack],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]],[[[drinkCoffee,25380],haveCoffeeBreak],[[goToSecondFloor,20368],improveSOTA],[[buyCoffee,15353],haveCoffeeBreak],[[goToGroundFloor,10346],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25291 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buySnack,15349],[goToSecondFloor,20353],[eatSnack,25381]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],haveSnack]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveCoffeeBreak],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],haveSnack],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20353],improveSOTA],[[buySnack,15349],haveSnack],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25291 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[buyCoffee,15360],[goToSecondFloor,20373],[drinkCoffee,25381]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveCoffeeBreak],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],haveSnack],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20373],improveSOTA],[[buyCoffee,15360],haveCoffeeBreak],[[goToThirdFloor,10346],improveSOTA]]]
randomBook has achieved its goal
randomCoffee has achieved its goal
randomSnack has achieved its goal
transparentBook has achieved its goal
obfuscatorBook has achieved its goal
[randomCoffee] I drink my coffe
[randomBook] I read the book
[randomSnack] I eat my snack
[transparentBook] I read the book
[obfuscatorBook] I read the book
transparentSnack has achieved its goal
transparentCoffee has achieved its goal
obfuscatorCoffee has achieved its goal
obfuscatorSnack has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe
[obfuscatorSnack] I eat my snack

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
