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
ADD randomBook[onlooker] hello world.
ADD onlooker

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

ADD randomCoffee
ADD obfuscatorSnack
ADD obfuscatorCoffee
ADD obfuscatorBook
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=randomBook T=10193 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10272]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10272],haveCoffeeBreak]],[[[goToThirdFloor,10272],haveSnack]],[[[goToThirdFloor,10272],improveSOTA]]]
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[transparentCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[obfuscatorSnack] hello, I will have a snack
[randomCoffee] hello, I will have a coffee break
[transparentSnack] hello, I will have a snack
onlooker has achieved its goal
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=transparentBook T=10294 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]]]
[onlooker] Agent=obfuscatorBook T=10294 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10324]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToThirdFloor,10324],haveSnack]],[[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10294 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10337]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=randomSnack T=10294 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10338]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToThirdFloor,10338],haveSnack]],[[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10294 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10349]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10349],haveCoffeeBreak]],[[[goToThirdFloor,10349],haveSnack]],[[[goToThirdFloor,10349],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10294 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10351]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10351],haveCoffeeBreak]],[[[goToGroundFloor,10351],haveSnack]]]
[onlooker] Agent=transparentSnack T=10294 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10353]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10353],haveCoffeeBreak]],[[[goToGroundFloor,10353],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10294 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10355]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10355],haveCoffeeBreak]],[[[goToThirdFloor,10355],haveSnack]],[[[goToThirdFloor,10355],improveSOTA]]]
[randomBook] I move to the third floor
[onlooker] Agent=randomBook T=15218 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10272],[takeBook,15274]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]]]
[transparentBook] I move to the third floor
[obfuscatorBook] I move to the third floor
[onlooker] Agent=transparentBook T=15218 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15309]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[randomCoffee] I move to the ground floor
[randomSnack] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=obfuscatorBook T=15319 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[transparentSnack] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=randomCoffee T=15319 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buyCoffee,15340]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=randomSnack T=15319 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buySnack,15350]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15319 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10349],[buySnack,15352]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15319 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10351],[buyCoffee,15355]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]]]
[onlooker] Agent=transparentSnack T=15319 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10353],[buySnack,15356]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15319 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10355],[buyCoffee,15356]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]]]
[randomBook] I take a book
[onlooker] Agent=randomBook T=20237 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10272],[takeBook,15274],[goToSecondFloor,20277]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]],[[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]],[[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]]]
[transparentBook] I take a book
[onlooker] Agent=transparentBook T=20237 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15309],[goToSecondFloor,20312]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[obfuscatorBook] I take a book
[onlooker] Agent=obfuscatorBook T=20237 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327],[goToSecondFloor,20332]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[randomCoffee] I buy a coffe
[onlooker] Agent=randomCoffee T=20337 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buyCoffee,15340],[goToSecondFloor,20340]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]],[[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]],[[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]]]
[randomSnack] I buy a snack
[obfuscatorSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[transparentCoffee] I buy a coffe
[transparentSnack] I buy a snack
[onlooker] Agent=randomSnack T=20337 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buySnack,15350],[goToSecondFloor,20352]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]],[[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]],[[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20337 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10349],[buySnack,15352],[goToSecondFloor,20356]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]],[[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]],[[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20337 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10355],[buyCoffee,15356],[goToSecondFloor,20359]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]],[[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]],[[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20337 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10351],[buyCoffee,15355],[goToSecondFloor,20360]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20360],haveCoffeeBreak],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveSnack],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[goToSecondFloor,20360],improveSOTA],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveCoffeeBreak],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]],[[[goToSecondFloor,20360],haveSnack],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]],[[[goToSecondFloor,20360],improveSOTA],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]]]
[onlooker] Agent=transparentSnack T=20337 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10353],[buySnack,15356],[goToSecondFloor,20361]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20361],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20361],haveSnack],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20361],improveSOTA],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20361],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]],[[[goToSecondFloor,20361],haveSnack],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]],[[[goToSecondFloor,20361],improveSOTA],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]]]
[randomBook] I move to the second floor
[transparentBook] I move to the second floor
[onlooker] Agent=randomBook T=25261 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10272],[takeBook,15274],[goToSecondFloor,20277],[readBook,25281]] of agent randomBook with the 9 possible explanations : [[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveCoffeeBreak]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],haveSnack]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveCoffeeBreak],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],haveSnack],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]],[[[readBook,25281],improveSOTA],[[goToSecondFloor,20277],improveSOTA],[[takeBook,15274],improveSOTA],[[goToThirdFloor,10272],improveSOTA]]]
[obfuscatorBook] I move to the second floor
[randomCoffee] I move to the second floor
[randomSnack] I move to the second floor
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=transparentBook T=25261 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10306],[takeBook,15309],[goToSecondFloor,20312],[readBook,25314]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveCoffeeBreak]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],haveSnack]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]],[[[readBook,25314],improveSOTA],[[goToSecondFloor,20312],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10306],improveSOTA]]]
[obfuscatorCoffee] I move to the second floor
[transparentCoffee] I move to the second floor
[transparentSnack] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25261 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327],[goToSecondFloor,20332],[readBook,25333]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25261 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buyCoffee,15340],[goToSecondFloor,20340],[drinkCoffee,25341]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]],[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]],[[[drinkCoffee,25341],haveCoffeeBreak],[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15340],haveCoffeeBreak],[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=randomSnack T=25261 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buySnack,15350],[goToSecondFloor,20352],[eatSnack,25353]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],haveSnack]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]],[[[eatSnack,25353],haveSnack],[[goToSecondFloor,20352],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25261 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10349],[buySnack,15352],[goToSecondFloor,20356],[eatSnack,25358]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveCoffeeBreak]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],haveSnack]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],haveSnack],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]],[[[eatSnack,25358],haveSnack],[[goToSecondFloor,20356],improveSOTA],[[buySnack,15352],haveSnack],[[goToThirdFloor,10349],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25261 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10355],[buyCoffee,15356],[goToSecondFloor,20359],[drinkCoffee,25360]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],haveSnack]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveCoffeeBreak],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],haveSnack],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20359],improveSOTA],[[buyCoffee,15356],haveCoffeeBreak],[[goToThirdFloor,10355],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25261 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10351],[buyCoffee,15355],[goToSecondFloor,20360],[drinkCoffee,25360]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],haveCoffeeBreak],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],haveSnack],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],improveSOTA],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveCoffeeBreak]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],haveCoffeeBreak],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],haveSnack],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]],[[[drinkCoffee,25360],haveCoffeeBreak],[[goToSecondFloor,20360],improveSOTA],[[buyCoffee,15355],haveCoffeeBreak],[[goToGroundFloor,10351],haveSnack]]]
[onlooker] Agent=transparentSnack T=25361 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10353],[buySnack,15356],[goToSecondFloor,20361],[eatSnack,25362]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],haveSnack],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],improveSOTA],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveCoffeeBreak]],[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]],[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],haveSnack],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]],[[[eatSnack,25362],haveSnack],[[goToSecondFloor,20361],improveSOTA],[[buySnack,15356],haveSnack],[[goToGroundFloor,10353],haveSnack]]]
randomBook has achieved its goal
transparentBook has achieved its goal
obfuscatorBook has achieved its goal
randomCoffee has achieved its goal
randomSnack has achieved its goal
[randomBook] I read the book
[transparentBook] I read the book
[obfuscatorBook] I read the book
[randomCoffee] I drink my coffe
[randomSnack] I eat my snack
[obfuscatorSnack] I eat my snack
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack
obfuscatorSnack has achieved its goal
transparentCoffee has achieved its goal
obfuscatorCoffee has achieved its goal
transparentSnack has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
