reading from file extraamasPOC.jcm ...
file extraamasPOC.jcm parsed successfully!

Executing /usr/lib/jvm/java-8-openjdk/jre/../bin/java -classpath /media/Data/developpement/ethicalHFT/jacamo-0.7-save/libs/ant-launcher-1.10.1.jar org.apache.tools.ant.launch.Launcher -e -f bin/extraamasPOC.xml run
Buildfile: /home/nicolas/Documents/BEHAVE/src/extraamas/bin/extraamasPOC.xml

init:

user-init:

compile:
Compiling 2 source files to /home/nicolas/Documents/BEHAVE/src/extraamas/bin/classes

run:
Running project extraamasPOC
CArtAgO Http Server running on http://127.0.0.1:3273
[JaCaMoLauncher] Workspace obfuscationPOC created.
[JaCaMoLauncher] artifact world: extraamasPOC.OfficeBuilding() at obfuscationPOC created.
Jason Http Server running on http://127.0.0.1:3272
ADD randomBook
ADD onlooker
ADD transparentSnack
ADD transparentBook
ADD randomCoffee
[onlooker] hello world.ADD randomSnack
[transparentSnack] hello world.
ADD obfuscatorBook

[transparentBook] hello world.ADD obfuscatorSnack

ADD transparentCoffee
[obfuscatorBook] hello world.
[obfuscatorSnack] hello world.
[transparentCoffee] hello world.
ADD obfuscatorCoffee
[obfuscatorCoffee] hello world.
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[transparentSnack] 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
[randomSnack] hello, I will have a snack
[transparentCoffee] hello, I will have a coffee break
[randomCoffee] hello, I will have a coffee break
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
onlooker has achieved its goal
[onlooker] Agent=randomBook T=10228 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10312]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10312],haveCoffeeBreak]],[[[goToThirdFloor,10312],haveSnack]],[[[goToThirdFloor,10312],improveSOTA]]]
[obfuscatorCoffee] hello, I will have a coffee break
[onlooker] Agent=transparentBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10327]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToThirdFloor,10327],haveSnack]],[[[goToThirdFloor,10327],improveSOTA]]]
[onlooker] Agent=randomSnack T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10336]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToThirdFloor,10336],haveSnack]],[[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10350]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10350],haveCoffeeBreak]],[[[goToGroundFloor,10350],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10350]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10350],haveCoffeeBreak]],[[[goToThirdFloor,10350],haveSnack]],[[[goToThirdFloor,10350],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10381]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10381],haveCoffeeBreak]],[[[goToThirdFloor,10381],haveSnack]],[[[goToThirdFloor,10381],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentSnack T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10406]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToThirdFloor,10406],haveSnack]],[[[goToThirdFloor,10406],improveSOTA]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[onlooker] Agent=randomBook T=15252 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10312],[takeBook,15314]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]]]
[randomSnack] I move to the third floor
[obfuscatorBook] I move to the third floor
[randomCoffee] I move to the ground floor
[onlooker] Agent=transparentBook T=15252 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15334]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomSnack T=15252 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15350]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[transparentSnack] I move to the ground floor
[transparentCoffee] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=obfuscatorBook T=15353 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10350],[takeBook,15354]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15353 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10350],[buyCoffee,15354]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15353 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10381],[buySnack,15383]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15353 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buySnack,15404]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentCoffee T=15353 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15353 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buyCoffee,15407]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]]]
[randomBook] I take a book
[transparentBook] I take a book
[randomSnack] I buy a snack
[randomCoffee] I buy a coffe
[obfuscatorBook] I take a book
[onlooker] Agent=randomBook T=20274 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10312],[takeBook,15314],[goToSecondFloor,20316]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]]]
[obfuscatorSnack] I buy a snack
[onlooker] Agent=transparentBook T=20274 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15334],[goToSecondFloor,20339]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=randomSnack T=20274 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15350],[goToSecondFloor,20354]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20274 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10350],[buyCoffee,15354],[goToSecondFloor,20356]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]],[[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]],[[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=20274 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10350],[takeBook,15354],[goToSecondFloor,20358]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20375 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10381],[buySnack,15383],[goToSecondFloor,20389]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]],[[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]],[[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20375 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buySnack,15404],[goToSecondFloor,20405]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20405],haveSnack],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20405],improveSOTA],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20405],haveSnack],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20405],improveSOTA],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20375 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405],[goToSecondFloor,20411]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20375 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buyCoffee,15407],[goToSecondFloor,20411]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]],[[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]],[[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]]]
[randomBook] I move to the second floor
[transparentBook] I move to the second floor
[randomSnack] I move to the second floor
[randomCoffee] I move to the second floor
[obfuscatorBook] I move to the second floor
[onlooker] Agent=randomBook T=25294 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10312],[takeBook,15314],[goToSecondFloor,20316],[readBook,25318]] of agent randomBook with the 9 possible explanations : [[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveCoffeeBreak]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],haveSnack]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]],[[[readBook,25318],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15314],improveSOTA],[[goToThirdFloor,10312],improveSOTA]]]
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[onlooker] Agent=transparentBook T=25294 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15334],[goToSecondFloor,20339],[readBook,25342]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[readBook,25342],improveSOTA],[[goToSecondFloor,20339],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[transparentCoffee] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25294 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15350],[goToSecondFloor,20354],[eatSnack,25356]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],haveSnack],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25356],haveSnack],[[goToSecondFloor,20354],improveSOTA],[[buySnack,15350],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25294 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10350],[buyCoffee,15354],[goToSecondFloor,20356],[drinkCoffee,25357]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveCoffeeBreak]],[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]],[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]],[[[drinkCoffee,25357],haveCoffeeBreak],[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15354],haveCoffeeBreak],[[goToGroundFloor,10350],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=25294 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10350],[takeBook,15354],[goToSecondFloor,20358],[readBook,25364]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveCoffeeBreak]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],haveSnack]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]],[[[readBook,25364],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15354],improveSOTA],[[goToThirdFloor,10350],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25294 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10381],[buySnack,15383],[goToSecondFloor,20389],[eatSnack,25391]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveCoffeeBreak]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],haveSnack]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveCoffeeBreak],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],haveSnack],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]],[[[eatSnack,25391],haveSnack],[[goToSecondFloor,20389],improveSOTA],[[buySnack,15383],haveSnack],[[goToThirdFloor,10381],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25395 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buySnack,15404],[goToSecondFloor,20405],[eatSnack,25406]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveSnack],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],improveSOTA],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveSnack],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],improveSOTA],[[buySnack,15404],haveSnack],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25395 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405],[goToSecondFloor,20411],[drinkCoffee,25412]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25395 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buyCoffee,15407],[goToSecondFloor,20411],[drinkCoffee,25412]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],haveSnack]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveCoffeeBreak],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],haveSnack],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]],[[[drinkCoffee,25412],haveCoffeeBreak],[[goToSecondFloor,20411],improveSOTA],[[buyCoffee,15407],haveCoffeeBreak],[[goToThirdFloor,10406],improveSOTA]]]
randomBook has achieved its goal
transparentBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
[randomBook] I read the book
[transparentBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
[obfuscatorBook] I read the book
obfuscatorBook has achieved its goal
obfuscatorSnack has achieved its goal
transparentSnack has achieved its goal
obfuscatorCoffee has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[obfuscatorSnack] I eat my snack
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
