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.ADD randomCoffee
[transparentBook] hello world.
[obfuscatorCoffee] hello world.
ADD randomSnack
ADD onlooker

ADD transparentBook[obfuscatorBook] hello world.
ADD randomBook

[obfuscatorSnack] hello world.
[transparentCoffee] hello world.
ADD obfuscatorBook
ADD obfuscatorCoffee
ADD obfuscatorSnack
ADD transparentCoffee
[transparentSnack] hello world.
ADD transparentSnack
onlooker has achieved its goal
[randomCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[transparentCoffee] hello, I will have a coffee break
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[transparentSnack] hello, I will have a snack
[onlooker] Agent=randomBook T=10245 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10318]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10318],haveCoffeeBreak]],[[[goToThirdFloor,10318],haveSnack]],[[[goToThirdFloor,10318],improveSOTA]]]
[onlooker] Agent=transparentBook T=10346 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10320]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToThirdFloor,10320],haveSnack]],[[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10346 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10325]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToThirdFloor,10325],haveSnack]],[[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=randomSnack T=10346 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10326]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10326],haveCoffeeBreak]],[[[goToGroundFloor,10326],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=10346 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10329]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10329],haveCoffeeBreak]],[[[goToThirdFloor,10329],haveSnack]],[[[goToThirdFloor,10329],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10346 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10346 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10380]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10380],haveCoffeeBreak]],[[[goToThirdFloor,10380],haveSnack]],[[[goToThirdFloor,10380],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10346 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10384]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToThirdFloor,10384],haveSnack]],[[[goToThirdFloor,10384],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10346 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10388]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10388],haveCoffeeBreak]],[[[goToGroundFloor,10388],haveSnack]]]
[randomBook] I move to the third floor
[randomSnack] I move to the ground floor
[transparentBook] I move to the third floor
[randomCoffee] I move to the third floor
[obfuscatorBook] I move to the third floor
[onlooker] Agent=randomBook T=15269 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10318],[takeBook,15327]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[onlooker] Agent=randomSnack T=15269 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10326],[buySnack,15330]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]]]
[obfuscatorSnack] I move to the third floor
[obfuscatorCoffee] I move to the third floor
[transparentSnack] I move to the ground floor
[onlooker] Agent=randomCoffee T=15269 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[buyCoffee,15334]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentBook T=15269 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[takeBook,15336]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15269 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10329],[takeBook,15343]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15269 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15369 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10380],[buySnack,15383]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15369 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[buyCoffee,15388]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15369 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10388],[buySnack,15391]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]]]
[randomBook] I take a book
[randomSnack] I buy a snack
[randomCoffee] I buy a coffe
[transparentBook] I take a book
[obfuscatorBook] I take a book
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20290 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10318],[takeBook,15327],[goToSecondFloor,20329]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]],[[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]],[[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]]]
[obfuscatorSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[transparentSnack] I buy a snack
[onlooker] Agent=randomSnack T=20290 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10326],[buySnack,15330],[goToSecondFloor,20338]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20338],haveCoffeeBreak],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20338],haveSnack],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20338],improveSOTA],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20338],haveCoffeeBreak],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]],[[[goToSecondFloor,20338],haveSnack],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]],[[[goToSecondFloor,20338],improveSOTA],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]]]
[onlooker] Agent=randomCoffee T=20290 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[buyCoffee,15334],[goToSecondFloor,20340]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]],[[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]],[[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentBook T=20290 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[takeBook,15336],[goToSecondFloor,20346]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]],[[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]],[[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20290 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10329],[takeBook,15343],[goToSecondFloor,20351]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20290 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367],[goToSecondFloor,20370]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=20390 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10380],[buySnack,15383],[goToSecondFloor,20391]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]],[[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]],[[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20390 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[buyCoffee,15388],[goToSecondFloor,20392]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]],[[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]],[[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20390 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10388],[buySnack,15391],[goToSecondFloor,20394]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20394],haveCoffeeBreak],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[goToSecondFloor,20394],haveSnack],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[goToSecondFloor,20394],improveSOTA],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[goToSecondFloor,20394],haveCoffeeBreak],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]],[[[goToSecondFloor,20394],haveSnack],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]],[[[goToSecondFloor,20394],improveSOTA],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]]]
[randomBook] I move to the second floor
[randomSnack] I move to the second floor
[randomCoffee] I move to the second floor
[transparentBook] I move to the second floor
[obfuscatorBook] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[transparentSnack] I move to the second floor
[onlooker] Agent=randomBook T=25316 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10318],[takeBook,15327],[goToSecondFloor,20329],[readBook,25333]] of agent randomBook with the 9 possible explanations : [[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20329],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10318],improveSOTA]]]
[onlooker] Agent=randomSnack T=25316 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10326],[buySnack,15330],[goToSecondFloor,20338],[eatSnack,25340]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],haveCoffeeBreak],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],haveSnack],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],improveSOTA],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveCoffeeBreak]],[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],haveCoffeeBreak],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]],[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],haveSnack],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]],[[[eatSnack,25340],haveSnack],[[goToSecondFloor,20338],improveSOTA],[[buySnack,15330],haveSnack],[[goToGroundFloor,10326],haveSnack]]]
[onlooker] Agent=randomCoffee T=25316 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[buyCoffee,15334],[goToSecondFloor,20340],[drinkCoffee,25343]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],haveSnack]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveCoffeeBreak],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],haveSnack],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]],[[[drinkCoffee,25343],haveCoffeeBreak],[[goToSecondFloor,20340],improveSOTA],[[buyCoffee,15334],haveCoffeeBreak],[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentBook T=25316 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10320],[takeBook,15336],[goToSecondFloor,20346],[readBook,25350]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveCoffeeBreak]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],haveSnack]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveCoffeeBreak],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],haveSnack],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]],[[[readBook,25350],improveSOTA],[[goToSecondFloor,20346],improveSOTA],[[takeBook,15336],improveSOTA],[[goToThirdFloor,10320],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25316 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10329],[takeBook,15343],[goToSecondFloor,20351],[readBook,25354]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15343],improveSOTA],[[goToThirdFloor,10329],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25316 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367],[goToSecondFloor,20370],[drinkCoffee,25374]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25316 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10380],[buySnack,15383],[goToSecondFloor,20391],[eatSnack,25393]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveCoffeeBreak]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],haveSnack]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]],[[[eatSnack,25393],haveSnack],[[goToSecondFloor,20391],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10380],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25316 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[buyCoffee,15388],[goToSecondFloor,20392],[drinkCoffee,25394]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],haveSnack]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]],[[[drinkCoffee,25394],haveCoffeeBreak],[[goToSecondFloor,20392],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToThirdFloor,10384],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25316 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10388],[buySnack,15391],[goToSecondFloor,20394],[eatSnack,25396]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],haveCoffeeBreak],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],haveSnack],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],improveSOTA],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveCoffeeBreak]],[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],haveCoffeeBreak],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]],[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],haveSnack],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]],[[[eatSnack,25396],haveSnack],[[goToSecondFloor,20394],improveSOTA],[[buySnack,15391],haveSnack],[[goToGroundFloor,10388],haveSnack]]]
randomBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
obfuscatorBook has achieved its goal
transparentBook has achieved its goal
[randomBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
[obfuscatorBook] I read the book
[transparentBook] I read the book
[transparentCoffee] I drink my coffe
transparentCoffee has achieved its goal
obfuscatorSnack has achieved its goal
transparentSnack has achieved its goal
obfuscatorCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentSnack] I eat my snack
[obfuscatorSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
