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.
[obfuscatorCoffee] hello world.
ADD obfuscatorSnack
ADD obfuscatorCoffee
ADD randomCoffee
ADD randomSnack
ADD onlooker
[onlooker] hello world.
[transparentBook] hello world.
[transparentSnack] hello world.
[obfuscatorBook] hello world.
[transparentCoffee] hello world.
ADD transparentBook
ADD randomBook
ADD transparentSnack
ADD obfuscatorBook
ADD transparentCoffee
[obfuscatorSnack] hello, I will have a snack
[randomCoffee] hello, I will have a coffee break
[obfuscatorCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
onlooker has achieved its goal
[transparentSnack] hello, I will have a snack
[transparentCoffee] 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,10322]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToThirdFloor,10322],haveSnack]],[[[goToThirdFloor,10322],improveSOTA]]]
[onlooker] Agent=randomBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10324]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToThirdFloor,10324],haveSnack]],[[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10326]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToThirdFloor,10326],haveSnack]],[[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10347]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10347],haveCoffeeBreak]],[[[goToGroundFloor,10347],haveSnack]]]
[onlooker] Agent=randomSnack T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10349]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentSnack T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10372]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10372],haveCoffeeBreak]],[[[goToGroundFloor,10372],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10373]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToThirdFloor,10373],haveSnack]],[[[goToThirdFloor,10373],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10329 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10406]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToThirdFloor,10406],haveSnack]],[[[goToThirdFloor,10406],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10329 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10407]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10407],haveCoffeeBreak]],[[[goToGroundFloor,10407],haveSnack]]]
[transparentBook] I move to the third floor
[randomBook] I move to the third floor
[obfuscatorBook] I move to the third floor
[randomCoffee] I move to the ground floor
[randomSnack] I move to the ground floor
[onlooker] Agent=transparentBook T=15250 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[transparentSnack] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=randomBook T=15250 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15328]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15250 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15334]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[transparentCoffee] I move to the ground floor
[onlooker] Agent=randomCoffee T=15250 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10347],[buyCoffee,15350]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]]]
[onlooker] Agent=randomSnack T=15352 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15352]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentSnack T=15352 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10372],[buySnack,15374]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15352 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15377]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15352 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buySnack,15407]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15352 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10407],[buyCoffee,15409]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]]]
[transparentBook] I take a book
[randomBook] I take a book
[obfuscatorBook] I take a book
[randomCoffee] I buy a coffe
[randomSnack] I buy a snack
[transparentSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=transparentBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326],[goToSecondFloor,20331]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[obfuscatorSnack] I buy a snack
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15328],[goToSecondFloor,20333]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15334],[goToSecondFloor,20345]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20268 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10347],[buyCoffee,15350],[goToSecondFloor,20352]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20352],haveCoffeeBreak],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[goToSecondFloor,20352],haveSnack],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[goToSecondFloor,20352],improveSOTA],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[goToSecondFloor,20352],haveCoffeeBreak],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]],[[[goToSecondFloor,20352],haveSnack],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]],[[[goToSecondFloor,20352],improveSOTA],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]]]
[onlooker] Agent=randomSnack T=20268 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15352],[goToSecondFloor,20355]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20355],haveSnack],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20355],improveSOTA],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[goToSecondFloor,20355],haveSnack],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[goToSecondFloor,20355],improveSOTA],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentSnack T=20368 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10372],[buySnack,15374],[goToSecondFloor,20377]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[goToSecondFloor,20377],haveSnack],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[goToSecondFloor,20377],improveSOTA],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]],[[[goToSecondFloor,20377],haveSnack],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]],[[[goToSecondFloor,20377],improveSOTA],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20368 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15377],[goToSecondFloor,20381]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20368 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buySnack,15407],[goToSecondFloor,20409]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]],[[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]],[[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20368 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10407],[buyCoffee,15409],[goToSecondFloor,20413]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]],[[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]],[[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]]]
[transparentBook] I move to the second floor
[randomBook] I move to the second floor
[randomCoffee] I move to the second floor
[obfuscatorBook] I move to the second floor
[randomSnack] I move to the second floor
[transparentSnack] I move to the second floor
[onlooker] Agent=transparentBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326],[goToSecondFloor,20331],[readBook,25334]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[readBook,25334],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15328],[goToSecondFloor,20333],[readBook,25338]] of agent randomBook with the 9 possible explanations : [[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveCoffeeBreak],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],haveSnack],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25338],improveSOTA],[[goToSecondFloor,20333],improveSOTA],[[takeBook,15328],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[obfuscatorSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[onlooker] Agent=randomCoffee T=25291 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10347],[buyCoffee,15350],[goToSecondFloor,20352],[drinkCoffee,25356]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],haveCoffeeBreak],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],haveSnack],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],improveSOTA],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveCoffeeBreak]],[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],haveCoffeeBreak],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]],[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],haveSnack],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]],[[[drinkCoffee,25356],haveCoffeeBreak],[[goToSecondFloor,20352],improveSOTA],[[buyCoffee,15350],haveCoffeeBreak],[[goToGroundFloor,10347],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=25291 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10326],[takeBook,15334],[goToSecondFloor,20345],[readBook,25359]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveCoffeeBreak]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],haveSnack]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]],[[[readBook,25359],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15334],improveSOTA],[[goToThirdFloor,10326],improveSOTA]]]
[onlooker] Agent=randomSnack T=25291 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15352],[goToSecondFloor,20355],[eatSnack,25360]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],haveSnack],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],improveSOTA],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],haveCoffeeBreak],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],haveSnack],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20355],improveSOTA],[[buySnack,15352],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentSnack T=25291 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10372],[buySnack,15374],[goToSecondFloor,20377],[eatSnack,25381]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],haveSnack],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],improveSOTA],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveCoffeeBreak]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],haveSnack],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]],[[[eatSnack,25381],haveSnack],[[goToSecondFloor,20377],improveSOTA],[[buySnack,15374],haveSnack],[[goToGroundFloor,10372],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25291 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15377],[goToSecondFloor,20381],[drinkCoffee,25385]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[drinkCoffee,25385],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25393 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10406],[buySnack,15407],[goToSecondFloor,20409],[eatSnack,25411]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveCoffeeBreak]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],haveSnack]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveCoffeeBreak],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],haveSnack],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]],[[[eatSnack,25411],haveSnack],[[goToSecondFloor,20409],improveSOTA],[[buySnack,15407],haveSnack],[[goToThirdFloor,10406],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25393 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10407],[buyCoffee,15409],[goToSecondFloor,20413],[drinkCoffee,25415]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveCoffeeBreak]],[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]],[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]],[[[drinkCoffee,25415],haveCoffeeBreak],[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15409],haveCoffeeBreak],[[goToGroundFloor,10407],haveSnack]]]
transparentBook has achieved its goal
randomBook has achieved its goal
[transparentBook] I read the book
[randomBook] I read the book
[randomCoffee] I drink my coffe
randomCoffee has achieved its goal
randomSnack has achieved its goal
obfuscatorBook has achieved its goal
transparentSnack has achieved its goal
obfuscatorCoffee has achieved its goal
obfuscatorSnack has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[randomSnack] I eat my snack
[obfuscatorBook] I read the book
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack
[obfuscatorSnack] I eat my snack
[transparentCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
