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
[obfuscatorSnack] hello world.
[onlooker] hello world.
ADD obfuscatorSnack[obfuscatorBook] hello world.

[transparentSnack] hello world.
ADD randomSnack
ADD onlooker
ADD transparentBook
ADD obfuscatorBook
ADD randomBook
ADD transparentSnack
[transparentBook] hello world.
[obfuscatorCoffee] hello world.ADD randomCoffee
[transparentCoffee] hello world.

ADD obfuscatorCoffee
ADD transparentCoffee
onlooker has achieved its goal
[obfuscatorSnack] hello, I will have a snack
[randomSnack] hello, I will have a snack
[randomCoffee] hello, I will have a coffee break
[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
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[transparentCoffee] hello, I will have a coffee break
[transparentSnack] hello, I will have a snack
[onlooker] Agent=randomSnack T=10228 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10306]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10306],haveCoffeeBreak]],[[[goToGroundFloor,10306],haveSnack]]]
[onlooker] Agent=transparentBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10309]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToThirdFloor,10309],haveSnack]],[[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=randomBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10309]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToThirdFloor,10309],haveSnack]],[[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10309]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToThirdFloor,10309],haveSnack]],[[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10315]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToThirdFloor,10315],haveSnack]],[[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10358]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10358],haveCoffeeBreak]],[[[goToGroundFloor,10358],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10361]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToThirdFloor,10361],haveSnack]],[[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10369]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10369],haveCoffeeBreak]],[[[goToThirdFloor,10369],haveSnack]],[[[goToThirdFloor,10369],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10375]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10375],haveCoffeeBreak]],[[[goToGroundFloor,10375],haveSnack]]]
[randomSnack] I move to the ground floor
[transparentBook] I move to the third floor
[randomBook] I move to the third floor
[randomCoffee] I move to the third floor
[obfuscatorBook] I move to the third floor
[onlooker] Agent=randomSnack T=15253 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10306],[buySnack,15312]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]]]
[onlooker] Agent=transparentBook T=15253 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomBook T=15253 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=randomCoffee T=15253 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[buyCoffee,15314]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]]]
[transparentSnack] I move to the ground floor
[onlooker] Agent=obfuscatorBook T=15253 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15322]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15354 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[buySnack,15364]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15354 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10358],[buyCoffee,15371]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15354 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10369],[buyCoffee,15371]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15354 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10375],[buySnack,15376]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]]]
[randomSnack] I buy a snack
[randomBook] I take a book
[randomCoffee] I buy a coffe
[transparentBook] I take a book
[obfuscatorBook] I take a book
[obfuscatorSnack] I buy a snack
[transparentCoffee] I buy a coffe
[obfuscatorCoffee] I buy a coffe
[transparentSnack] I buy a snack
[onlooker] Agent=randomBook T=20279 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312],[goToSecondFloor,20315]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=randomSnack T=20279 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10306],[buySnack,15312],[goToSecondFloor,20315]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20315],haveCoffeeBreak],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20315],haveSnack],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20315],improveSOTA],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[goToSecondFloor,20315],haveCoffeeBreak],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]],[[[goToSecondFloor,20315],haveSnack],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]],[[[goToSecondFloor,20315],improveSOTA],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]]]
[onlooker] Agent=randomCoffee T=20279 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[buyCoffee,15314],[goToSecondFloor,20318]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=transparentBook T=20279 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312],[goToSecondFloor,20318]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20279 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15322],[goToSecondFloor,20359]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20279 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[buySnack,15364],[goToSecondFloor,20370]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]],[[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]],[[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20279 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10358],[buyCoffee,15371],[goToSecondFloor,20372]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20372],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[goToSecondFloor,20372],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[goToSecondFloor,20372],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[goToSecondFloor,20372],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]],[[[goToSecondFloor,20372],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]],[[[goToSecondFloor,20372],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20279 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10369],[buyCoffee,15371],[goToSecondFloor,20376]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]],[[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]],[[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20279 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10375],[buySnack,15376],[goToSecondFloor,20378]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20378],haveCoffeeBreak],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[goToSecondFloor,20378],haveSnack],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[goToSecondFloor,20378],improveSOTA],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[goToSecondFloor,20378],haveCoffeeBreak],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]],[[[goToSecondFloor,20378],haveSnack],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]],[[[goToSecondFloor,20378],improveSOTA],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],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
[onlooker] Agent=randomBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312],[goToSecondFloor,20315],[readBook,25317]] of agent randomBook with the 9 possible explanations : [[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[readBook,25317],improveSOTA],[[goToSecondFloor,20315],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[transparentCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25310 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10306],[buySnack,15312],[goToSecondFloor,20315],[eatSnack,25319]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],haveCoffeeBreak],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],haveSnack],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],improveSOTA],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveCoffeeBreak]],[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],haveCoffeeBreak],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]],[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],haveSnack],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]],[[[eatSnack,25319],haveSnack],[[goToSecondFloor,20315],improveSOTA],[[buySnack,15312],haveSnack],[[goToGroundFloor,10306],haveSnack]]]
[onlooker] Agent=randomCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[buyCoffee,15314],[goToSecondFloor,20318],[drinkCoffee,25323]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],haveSnack]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]],[[[drinkCoffee,25323],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15314],haveCoffeeBreak],[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=transparentBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10309],[takeBook,15312],[goToSecondFloor,20318],[readBook,25326]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveCoffeeBreak],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],haveSnack],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20318],improveSOTA],[[takeBook,15312],improveSOTA],[[goToThirdFloor,10309],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15322],[goToSecondFloor,20359],[readBook,25366]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveCoffeeBreak],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],haveSnack],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20359],improveSOTA],[[takeBook,15322],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10358],[buyCoffee,15371],[goToSecondFloor,20372],[drinkCoffee,25375]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveCoffeeBreak]],[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]],[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]],[[[drinkCoffee,25375],haveCoffeeBreak],[[goToSecondFloor,20372],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToGroundFloor,10358],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25310 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10361],[buySnack,15364],[goToSecondFloor,20370],[eatSnack,25377]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],haveSnack]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],haveSnack],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20370],improveSOTA],[[buySnack,15364],haveSnack],[[goToThirdFloor,10361],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25310 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10375],[buySnack,15376],[goToSecondFloor,20378],[eatSnack,25382]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],haveCoffeeBreak],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],haveSnack],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],improveSOTA],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],haveCoffeeBreak],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],haveSnack],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20378],improveSOTA],[[buySnack,15376],haveSnack],[[goToGroundFloor,10375],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10369],[buyCoffee,15371],[goToSecondFloor,20376],[drinkCoffee,25385]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveCoffeeBreak],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],haveSnack],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20376],improveSOTA],[[buyCoffee,15371],haveCoffeeBreak],[[goToThirdFloor,10369],improveSOTA]]]
randomBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
transparentBook has achieved its goal
[randomBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
[transparentBook] I read the book
[obfuscatorBook] I read the book
obfuscatorBook has achieved its goal
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.
[transparentCoffee] I drink my coffe
[obfuscatorSnack] I eat my snack
[transparentSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
