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
ADD transparentCoffee[transparentSnack] hello world.

ADD obfuscatorBook[obfuscatorCoffee] hello world.
ADD randomCoffee

[onlooker] hello world.ADD transparentSnack
[transparentBook] hello world.

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

[onlooker] Agent=obfuscatorBook T=10221 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10302]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10302],haveCoffeeBreak]],[[[goToThirdFloor,10302],haveSnack]],[[[goToThirdFloor,10302],improveSOTA]]]
[onlooker] Agent=randomBook T=10221 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10305]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10305],haveCoffeeBreak]],[[[goToThirdFloor,10305],haveSnack]],[[[goToThirdFloor,10305],improveSOTA]]]
[onlooker] Agent=randomSnack T=10221 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10309]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10309],haveCoffeeBreak]],[[[goToGroundFloor,10309],haveSnack]]]
[onlooker] Agent=randomCoffee T=10323 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10311]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10311],haveCoffeeBreak]],[[[goToThirdFloor,10311],haveSnack]],[[[goToThirdFloor,10311],improveSOTA]]]
[onlooker] Agent=transparentBook T=10323 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10333]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToThirdFloor,10333],haveSnack]],[[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10323 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10359]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10359],haveCoffeeBreak]],[[[goToThirdFloor,10359],haveSnack]],[[[goToThirdFloor,10359],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10323 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10377]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToGroundFloor,10377],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10323 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10380]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToGroundFloor,10380],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10323 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10383]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10383],haveCoffeeBreak]],[[[goToThirdFloor,10383],haveSnack]],[[[goToThirdFloor,10383],improveSOTA]]]
[obfuscatorBook] I move to the third floor
[randomBook] I move to the third floor
[randomCoffee] I move to the third floor
[randomSnack] I move to the ground floor
[onlooker] Agent=obfuscatorBook T=15245 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10302],[takeBook,15305]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]]]
[transparentBook] I move to the third floor
[onlooker] Agent=randomBook T=15245 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10305],[takeBook,15307]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomCoffee T=15245 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10311],[buyCoffee,15315]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]]]
[onlooker] Agent=randomSnack T=15245 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10309],[buySnack,15318]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]]]
[transparentSnack] I move to the ground floor
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentBook T=15245 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[takeBook,15339]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]]]
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=obfuscatorSnack T=15345 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10359],[buySnack,15362]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15345 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buySnack,15379]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]]]
[onlooker] Agent=transparentCoffee T=15345 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15383]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15345 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10383],[buyCoffee,15389]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]]]
[obfuscatorBook] I take a book
[randomBook] I take a book
[randomCoffee] I buy a coffe
[randomSnack] I buy a snack
[onlooker] Agent=obfuscatorBook T=20262 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10302],[takeBook,15305],[goToSecondFloor,20309]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]],[[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]],[[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]]]
[transparentBook] I take a book
[onlooker] Agent=randomBook T=20262 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10305],[takeBook,15307],[goToSecondFloor,20311]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]]]
[obfuscatorSnack] I buy a snack
[onlooker] Agent=randomCoffee T=20262 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10311],[buyCoffee,15315],[goToSecondFloor,20318]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]],[[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]],[[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]]]
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomSnack T=20262 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10309],[buySnack,15318],[goToSecondFloor,20319]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20319],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20319],haveSnack],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20319],improveSOTA],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[goToSecondFloor,20319],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]],[[[goToSecondFloor,20319],haveSnack],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]],[[[goToSecondFloor,20319],improveSOTA],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]]]
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=transparentBook T=20262 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[takeBook,15339],[goToSecondFloor,20341]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]],[[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]],[[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20362 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10359],[buySnack,15362],[goToSecondFloor,20366]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]],[[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]],[[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20362 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buySnack,15379],[goToSecondFloor,20381]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveSnack],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20381],improveSOTA],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]],[[[goToSecondFloor,20381],haveSnack],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]],[[[goToSecondFloor,20381],improveSOTA],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20362 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15383],[goToSecondFloor,20385]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20385],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20385],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20385],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20385],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[goToSecondFloor,20385],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[goToSecondFloor,20385],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20362 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10383],[buyCoffee,15389],[goToSecondFloor,20396]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]],[[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]],[[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]]]
[obfuscatorBook] I move to the second floor
[randomCoffee] I move to the second floor
[randomSnack] I move to the second floor
[randomBook] I move to the second floor
[transparentBook] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25284 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10302],[takeBook,15305],[goToSecondFloor,20309],[readBook,25312]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveCoffeeBreak],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],haveSnack],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20309],improveSOTA],[[takeBook,15305],improveSOTA],[[goToThirdFloor,10302],improveSOTA]]]
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=randomCoffee T=25284 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10311],[buyCoffee,15315],[goToSecondFloor,20318],[drinkCoffee,25319]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveCoffeeBreak]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],haveSnack]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveCoffeeBreak],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],haveSnack],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]],[[[drinkCoffee,25319],haveCoffeeBreak],[[goToSecondFloor,20318],improveSOTA],[[buyCoffee,15315],haveCoffeeBreak],[[goToThirdFloor,10311],improveSOTA]]]
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25284 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10309],[buySnack,15318],[goToSecondFloor,20319],[eatSnack,25320]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],haveSnack],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],improveSOTA],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveCoffeeBreak]],[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]],[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],haveSnack],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]],[[[eatSnack,25320],haveSnack],[[goToSecondFloor,20319],improveSOTA],[[buySnack,15318],haveSnack],[[goToGroundFloor,10309],haveSnack]]]
[onlooker] Agent=randomBook T=25284 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10305],[takeBook,15307],[goToSecondFloor,20311],[readBook,25320]] of agent randomBook with the 9 possible explanations : [[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveCoffeeBreak]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],haveSnack]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]],[[[readBook,25320],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15307],improveSOTA],[[goToThirdFloor,10305],improveSOTA]]]
[onlooker] Agent=transparentBook T=25284 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[takeBook,15339],[goToSecondFloor,20341],[readBook,25343]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],haveSnack]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveCoffeeBreak],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],haveSnack],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]],[[[readBook,25343],improveSOTA],[[goToSecondFloor,20341],improveSOTA],[[takeBook,15339],improveSOTA],[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25284 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10359],[buySnack,15362],[goToSecondFloor,20366],[eatSnack,25368]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveCoffeeBreak],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],haveSnack],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20366],improveSOTA],[[buySnack,15362],haveSnack],[[goToThirdFloor,10359],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25284 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buySnack,15379],[goToSecondFloor,20381],[eatSnack,25382]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],haveSnack],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],improveSOTA],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],haveSnack],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]],[[[eatSnack,25382],haveSnack],[[goToSecondFloor,20381],improveSOTA],[[buySnack,15379],haveSnack],[[goToGroundFloor,10377],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25384 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15383],[goToSecondFloor,20385],[drinkCoffee,25386]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[drinkCoffee,25386],haveCoffeeBreak],[[goToSecondFloor,20385],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25384 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10383],[buyCoffee,15389],[goToSecondFloor,20396],[drinkCoffee,25397]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveCoffeeBreak]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],haveSnack]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveCoffeeBreak],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],haveSnack],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]],[[[drinkCoffee,25397],haveCoffeeBreak],[[goToSecondFloor,20396],improveSOTA],[[buyCoffee,15389],haveCoffeeBreak],[[goToThirdFloor,10383],improveSOTA]]]
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
randomBook has achieved its goal
randomCoffee has achieved its goal
transparentBook has achieved its goal
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[randomBook] I read the book
[randomCoffee] I drink my coffe
[transparentBook] I read the book
[obfuscatorSnack] I eat my snack
obfuscatorSnack has achieved its goal
transparentSnack has achieved its goal
transparentCoffee 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
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
