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
[JaCaMoLauncher] Workspace obfuscationPOC created.
[JaCaMoLauncher] artifact world: extraamasPOC.OfficeBuilding() at obfuscationPOC created.
CArtAgO Http Server running on http://127.0.0.1:3273
Jason Http Server running on http://127.0.0.1:3272
[onlooker] hello world.
[transparentBook] hello world.
ADD onlooker
ADD randomBook[transparentSnack] hello world.
ADD randomCoffee
[obfuscatorCoffee] hello world.

ADD transparentBook
ADD obfuscatorBook[obfuscatorSnack] hello world.
ADD transparentSnack
ADD obfuscatorCoffee

ADD randomSnack
ADD obfuscatorSnack
ADD transparentCoffee
[obfuscatorBook] hello world.
[transparentCoffee] hello world.
onlooker has achieved its goal[randomBook] hello, I will look for a good book to improve my state-of-the-art

[onlooker] Agent=randomBook T=10190 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10269]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10269],haveCoffeeBreak]],[[[goToThirdFloor,10269],haveSnack]],[[[goToThirdFloor,10269],improveSOTA]]]
[randomCoffee] hello, I will have a coffee break
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=randomCoffee T=10290 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10305]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10305],haveCoffeeBreak]],[[[goToGroundFloor,10305],haveSnack]]]
[transparentSnack] hello, I will have a snack
[onlooker] Agent=transparentBook T=10290 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10306]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToThirdFloor,10306],haveSnack]],[[[goToThirdFloor,10306],improveSOTA]]]
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[randomSnack] hello, I will have a snack
[onlooker] Agent=transparentSnack T=10290 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10317]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10317],haveCoffeeBreak]],[[[goToGroundFloor,10317],haveSnack]]]
[onlooker] Agent=randomSnack T=10290 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10320]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToThirdFloor,10320],haveSnack]],[[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10290 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10322]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToThirdFloor,10322],haveSnack]],[[[goToThirdFloor,10322],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10290 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10323]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10323],haveCoffeeBreak]],[[[goToThirdFloor,10323],haveSnack]],[[[goToThirdFloor,10323],improveSOTA]]]
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=obfuscatorBook T=10290 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10361]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToThirdFloor,10361],haveSnack]],[[[goToThirdFloor,10361],improveSOTA]]]
[transparentCoffee] hello, I will have a coffee break
[onlooker] Agent=transparentCoffee T=10290 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10379]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10379],haveCoffeeBreak]],[[[goToGroundFloor,10379],haveSnack]]]
[randomBook] I move to the third floor
[onlooker] Agent=randomBook T=15212 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10269],[takeBook,15272]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]]]
[randomCoffee] I move to the ground floor
[transparentBook] I move to the third floor
[transparentSnack] I move to the ground floor
[randomSnack] I move to the third floor
[obfuscatorCoffee] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomCoffee T=15212 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10305],[buyCoffee,15308]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]]]
[obfuscatorBook] I move to the third floor
[onlooker] Agent=transparentBook T=15313 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15319]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15313 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10317],[buySnack,15322]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]]]
[transparentCoffee] I move to the ground floor
[onlooker] Agent=randomSnack T=15313 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[buySnack,15322]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15313 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10323],[buySnack,15327]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15313 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[buyCoffee,15327]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15313 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[takeBook,15363]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15313 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10379],[buyCoffee,15380]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]]]
[randomBook] I take a book
[randomCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20231 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10269],[takeBook,15272],[goToSecondFloor,20275]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]],[[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]],[[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]]]
[transparentBook] I take a book
[randomSnack] I buy a snack
[transparentSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=randomCoffee T=20231 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10305],[buyCoffee,15308],[goToSecondFloor,20310]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20310],haveCoffeeBreak],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20310],haveSnack],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20310],improveSOTA],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20310],haveCoffeeBreak],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]],[[[goToSecondFloor,20310],haveSnack],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]],[[[goToSecondFloor,20310],improveSOTA],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]]]
[onlooker] Agent=transparentBook T=20231 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15319],[goToSecondFloor,20323]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[onlooker] Agent=randomSnack T=20231 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[buySnack,15322],[goToSecondFloor,20324]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]],[[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]],[[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]]]
[obfuscatorBook] I take a book
[obfuscatorSnack] I buy a snack
[onlooker] Agent=transparentSnack T=20231 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10317],[buySnack,15322],[goToSecondFloor,20326]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20326],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]],[[[goToSecondFloor,20326],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]],[[[goToSecondFloor,20326],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20332 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[buyCoffee,15327],[goToSecondFloor,20332]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]]]
[transparentCoffee] I buy a coffe
[onlooker] Agent=obfuscatorBook T=20332 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[takeBook,15363],[goToSecondFloor,20364]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]],[[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]],[[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20332 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10323],[buySnack,15327],[goToSecondFloor,20364]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]],[[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]],[[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20332 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10379],[buyCoffee,15380],[goToSecondFloor,20381]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]]]
[randomBook] I move to the second floor
[randomCoffee] I move to the second floor
[transparentBook] I move to the second floor
[randomSnack] I move to the second floor
[transparentSnack] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25254 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10269],[takeBook,15272],[goToSecondFloor,20275],[readBook,25276]] of agent randomBook with the 9 possible explanations : [[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveCoffeeBreak]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],haveSnack]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveCoffeeBreak],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],haveSnack],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]],[[[readBook,25276],improveSOTA],[[goToSecondFloor,20275],improveSOTA],[[takeBook,15272],improveSOTA],[[goToThirdFloor,10269],improveSOTA]]]
[obfuscatorBook] I move to the second floor
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=randomCoffee T=25254 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10305],[buyCoffee,15308],[goToSecondFloor,20310],[drinkCoffee,25311]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],haveCoffeeBreak],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],haveSnack],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],improveSOTA],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveCoffeeBreak]],[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],haveCoffeeBreak],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]],[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],haveSnack],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]],[[[drinkCoffee,25311],haveCoffeeBreak],[[goToSecondFloor,20310],improveSOTA],[[buyCoffee,15308],haveCoffeeBreak],[[goToGroundFloor,10305],haveSnack]]]
[transparentCoffee] I move to the second floor
[onlooker] Agent=transparentBook T=25254 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15319],[goToSecondFloor,20323],[readBook,25325]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[readBook,25325],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[onlooker] Agent=randomSnack T=25254 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[buySnack,15322],[goToSecondFloor,20324],[eatSnack,25325]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],haveSnack]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],haveSnack],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20324],improveSOTA],[[buySnack,15322],haveSnack],[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25254 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10317],[buySnack,15322],[goToSecondFloor,20326],[eatSnack,25328]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveCoffeeBreak]],[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]],[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]],[[[eatSnack,25328],haveSnack],[[goToSecondFloor,20326],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10317],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25254 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[buyCoffee,15327],[goToSecondFloor,20332],[drinkCoffee,25333]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],haveSnack]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveCoffeeBreak],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],haveSnack],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]],[[[drinkCoffee,25333],haveCoffeeBreak],[[goToSecondFloor,20332],improveSOTA],[[buyCoffee,15327],haveCoffeeBreak],[[goToThirdFloor,10322],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25355 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[takeBook,15363],[goToSecondFloor,20364],[readBook,25365]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],haveSnack]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveCoffeeBreak],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],haveSnack],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]],[[[readBook,25365],improveSOTA],[[goToSecondFloor,20364],improveSOTA],[[takeBook,15363],improveSOTA],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25355 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10323],[buySnack,15327],[goToSecondFloor,20364],[eatSnack,25366]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveCoffeeBreak]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],haveSnack]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveCoffeeBreak],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],haveSnack],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]],[[[eatSnack,25366],haveSnack],[[goToSecondFloor,20364],improveSOTA],[[buySnack,15327],haveSnack],[[goToThirdFloor,10323],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25355 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10379],[buyCoffee,15380],[goToSecondFloor,20381],[drinkCoffee,25383]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveCoffeeBreak]],[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]],[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]],[[[drinkCoffee,25383],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15380],haveCoffeeBreak],[[goToGroundFloor,10379],haveSnack]]]
randomBook has achieved its goal
randomCoffee has achieved its goal
randomSnack has achieved its goal
transparentSnack has achieved its goal
transparentBook has achieved its goal
obfuscatorCoffee has achieved its goal
[randomBook] I read the book
[randomCoffee] I drink my coffe
[randomSnack] I eat my snack
[transparentSnack] I eat my snack
[transparentBook] I read the book
[obfuscatorCoffee] I drink my coffe
[obfuscatorBook] I read the book
[obfuscatorSnack] I eat my snack
obfuscatorBook has achieved its goal
obfuscatorSnack has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
