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.CArtAgO Http Server running on http://127.0.0.1:3273

[JaCaMoLauncher] artifact world: extraamasPOC.OfficeBuilding() at obfuscationPOC created.
Jason Http Server running on http://127.0.0.1:3272
[transparentSnack] hello world.
[onlooker] hello world.
[transparentBook] hello world.
[obfuscatorBook] hello world.
[obfuscatorCoffee] hello world.
[transparentCoffee] hello world.
[obfuscatorSnack] hello world.
ADD randomBook
ADD transparentSnack
ADD onlooker
ADD randomSnack
ADD transparentBook
ADD transparentCoffee
ADD obfuscatorBook
ADD obfuscatorCoffee
ADD randomCoffee
ADD obfuscatorSnack
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[transparentSnack] hello, I will have a snack
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[randomSnack] hello, I will have a snack
[obfuscatorCoffee] hello, I will have a coffee break
[transparentCoffee] hello, I will have a coffee break
[randomCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
onlooker has achieved its goal
[onlooker] Agent=randomBook T=10309 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10384]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToThirdFloor,10384],haveSnack]],[[[goToThirdFloor,10384],improveSOTA]]]
[onlooker] Agent=transparentBook T=10409 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10396]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10396],haveCoffeeBreak]],[[[goToThirdFloor,10396],haveSnack]],[[[goToThirdFloor,10396],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10409 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10412]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToThirdFloor,10412],haveSnack]],[[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomSnack T=10409 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10412]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToThirdFloor,10412],haveSnack]],[[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10409 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10412]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10412],haveCoffeeBreak]],[[[goToGroundFloor,10412],haveSnack]]]
[onlooker] Agent=transparentSnack T=10409 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10436]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10436],haveCoffeeBreak]],[[[goToGroundFloor,10436],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10409 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10441]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10441],haveCoffeeBreak]],[[[goToGroundFloor,10441],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10409 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10444]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10444],haveCoffeeBreak]],[[[goToThirdFloor,10444],haveSnack]],[[[goToThirdFloor,10444],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10409 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10445]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10445],haveCoffeeBreak]],[[[goToThirdFloor,10445],haveSnack]],[[[goToThirdFloor,10445],improveSOTA]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[onlooker] Agent=randomBook T=15331 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[takeBook,15387]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]]]
[obfuscatorBook] I move to the third floor
[randomCoffee] I move to the ground floor
[randomSnack] I move to the third floor
[onlooker] Agent=transparentBook T=15331 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10396],[takeBook,15408]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]]]
[transparentSnack] I move to the ground floor
[transparentCoffee] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=obfuscatorBook T=15331 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[takeBook,15415]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15331 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10412],[buyCoffee,15417]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]]]
[onlooker] Agent=randomSnack T=15331 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[buySnack,15417]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15432 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10436],[buySnack,15439]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]]]
[onlooker] Agent=transparentCoffee T=15432 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10441],[buyCoffee,15442]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15432 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10444],[buySnack,15448]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15432 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10445],[buyCoffee,15448]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]]]
[randomBook] I take a book
[transparentBook] I take a book
[obfuscatorBook] I take a book
[randomCoffee] I buy a coffe
[randomSnack] I buy a snack
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[obfuscatorSnack] I buy a snack
[onlooker] Agent=randomBook T=20347 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[takeBook,15387],[goToSecondFloor,20390]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]],[[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]],[[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]]]
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=transparentBook T=20347 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10396],[takeBook,15408],[goToSecondFloor,20416]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]],[[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]],[[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20347 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[takeBook,15415],[goToSecondFloor,20420]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]],[[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]],[[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomSnack T=20347 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[buySnack,15417],[goToSecondFloor,20422]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]],[[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]],[[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20347 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10412],[buyCoffee,15417],[goToSecondFloor,20425]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20425],haveCoffeeBreak],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20425],haveSnack],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20425],improveSOTA],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[goToSecondFloor,20425],haveCoffeeBreak],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]],[[[goToSecondFloor,20425],haveSnack],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]],[[[goToSecondFloor,20425],improveSOTA],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]]]
[onlooker] Agent=transparentSnack T=20347 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10436],[buySnack,15439],[goToSecondFloor,20443]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20443],haveCoffeeBreak],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[goToSecondFloor,20443],haveSnack],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[goToSecondFloor,20443],improveSOTA],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[goToSecondFloor,20443],haveCoffeeBreak],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]],[[[goToSecondFloor,20443],haveSnack],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]],[[[goToSecondFloor,20443],improveSOTA],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20347 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10441],[buyCoffee,15442],[goToSecondFloor,20446]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20446],haveCoffeeBreak],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[goToSecondFloor,20446],haveSnack],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[goToSecondFloor,20446],improveSOTA],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[goToSecondFloor,20446],haveCoffeeBreak],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]],[[[goToSecondFloor,20446],haveSnack],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]],[[[goToSecondFloor,20446],improveSOTA],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=20448 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10444],[buySnack,15448],[goToSecondFloor,20454]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]],[[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]],[[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20448 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10445],[buyCoffee,15448],[goToSecondFloor,20504]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]],[[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]],[[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]]]
[randomBook] I move to the second floor
[obfuscatorBook] 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
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=randomBook T=25369 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10384],[takeBook,15387],[goToSecondFloor,20390],[readBook,25392]] of agent randomBook with the 9 possible explanations : [[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveCoffeeBreak]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],haveSnack]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveCoffeeBreak],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],haveSnack],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]],[[[readBook,25392],improveSOTA],[[goToSecondFloor,20390],improveSOTA],[[takeBook,15387],improveSOTA],[[goToThirdFloor,10384],improveSOTA]]]
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25369 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[takeBook,15415],[goToSecondFloor,20420],[readBook,25422]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],haveSnack]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveCoffeeBreak],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],haveSnack],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]],[[[readBook,25422],improveSOTA],[[goToSecondFloor,20420],improveSOTA],[[takeBook,15415],improveSOTA],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomSnack T=25369 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10412],[buySnack,15417],[goToSecondFloor,20422],[eatSnack,25427]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveCoffeeBreak],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],haveSnack],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20422],improveSOTA],[[buySnack,15417],haveSnack],[[goToThirdFloor,10412],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25369 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10412],[buyCoffee,15417],[goToSecondFloor,20425],[drinkCoffee,25429]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],haveCoffeeBreak],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],haveSnack],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],improveSOTA],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],haveCoffeeBreak],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],haveSnack],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20425],improveSOTA],[[buyCoffee,15417],haveCoffeeBreak],[[goToGroundFloor,10412],haveSnack]]]
[onlooker] Agent=transparentBook T=25369 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10396],[takeBook,15408],[goToSecondFloor,20416],[readBook,25432]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveCoffeeBreak]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],haveSnack]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveCoffeeBreak],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],haveSnack],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]],[[[readBook,25432],improveSOTA],[[goToSecondFloor,20416],improveSOTA],[[takeBook,15408],improveSOTA],[[goToThirdFloor,10396],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25369 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10441],[buyCoffee,15442],[goToSecondFloor,20446],[drinkCoffee,25449]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],haveCoffeeBreak],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],haveSnack],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],improveSOTA],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveCoffeeBreak]],[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],haveCoffeeBreak],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]],[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],haveSnack],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]],[[[drinkCoffee,25449],haveCoffeeBreak],[[goToSecondFloor,20446],improveSOTA],[[buyCoffee,15442],haveCoffeeBreak],[[goToGroundFloor,10441],haveSnack]]]
[onlooker] Agent=transparentSnack T=25369 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10436],[buySnack,15439],[goToSecondFloor,20443],[eatSnack,25449]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],haveCoffeeBreak],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],haveSnack],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],improveSOTA],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveCoffeeBreak]],[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],haveCoffeeBreak],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]],[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],haveSnack],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]],[[[eatSnack,25449],haveSnack],[[goToSecondFloor,20443],improveSOTA],[[buySnack,15439],haveSnack],[[goToGroundFloor,10436],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25369 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10444],[buySnack,15448],[goToSecondFloor,20454],[eatSnack,25460]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveCoffeeBreak]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],haveSnack]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveCoffeeBreak],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],haveSnack],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]],[[[eatSnack,25460],haveSnack],[[goToSecondFloor,20454],improveSOTA],[[buySnack,15448],haveSnack],[[goToThirdFloor,10444],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25471 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10445],[buyCoffee,15448],[goToSecondFloor,20504],[drinkCoffee,25506]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveCoffeeBreak]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],haveSnack]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveCoffeeBreak],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],haveSnack],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]],[[[drinkCoffee,25506],haveCoffeeBreak],[[goToSecondFloor,20504],improveSOTA],[[buyCoffee,15448],haveCoffeeBreak],[[goToThirdFloor,10445],improveSOTA]]]
[randomBook] I read the book
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
[transparentBook] I read the book
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe
[obfuscatorSnack] I eat my snack
randomBook has achieved its goal
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
transparentBook has achieved its goal
transparentSnack has achieved its goal
transparentCoffee has achieved its goal
obfuscatorSnack has achieved its goal
[obfuscatorCoffee] I drink my coffe
obfuscatorCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
