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 onlooker[onlooker] hello world.
ADD randomBook
ADD randomCoffee
ADD obfuscatorSnack
[transparentBook] hello world.

ADD transparentBook
[obfuscatorSnack] hello world.ADD obfuscatorCoffee

[obfuscatorCoffee] hello world.ADD randomSnack

ADD transparentCoffee[transparentCoffee] hello world.

ADD transparentSnack[obfuscatorBook] hello world.

ADD obfuscatorBook[transparentSnack] hello world.

[randomBook] hello, I will look for a good book to improve my state-of-the-artonlooker has achieved its goal
[randomCoffee] hello, I will have a coffee break

[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorSnack] hello, I will have a snack
[transparentSnack] hello, I will have a snack
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=randomBook T=10287 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10303]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToThirdFloor,10303],haveSnack]],[[[goToThirdFloor,10303],improveSOTA]]]
[transparentCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[onlooker] Agent=transparentBook T=10287 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10307]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10307],haveCoffeeBreak]],[[[goToThirdFloor,10307],haveSnack]],[[[goToThirdFloor,10307],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10287 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10319]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToThirdFloor,10319],haveSnack]],[[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10287 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10320]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=randomSnack T=10287 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10337]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10287 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10338]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToThirdFloor,10338],haveSnack]],[[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10287 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10345]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10345],haveCoffeeBreak]],[[[goToThirdFloor,10345],haveSnack]],[[[goToThirdFloor,10345],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10287 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10349]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10287 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10355]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10355],haveCoffeeBreak]],[[[goToGroundFloor,10355],haveSnack]]]
[randomBook] I move to the third floor
[transparentBook] 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
[obfuscatorCoffee] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomBook T=15208 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[transparentSnack] I move to the ground floor
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15308]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentBook T=15309 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10307],[takeBook,15323]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15309 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[takeBook,15327]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15309 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15330]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=randomSnack T=15309 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buySnack,15339]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15309 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buyCoffee,15341]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15309 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10345],[buySnack,15347]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15309 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15351]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentCoffee T=15309 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10355],[buyCoffee,15358]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]]]
[randomBook] I take a book
[transparentBook] I take a book
[randomCoffee] I buy a coffe
[obfuscatorBook] I take a book
[randomSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[obfuscatorSnack] I buy a snack
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20250 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15308],[goToSecondFloor,20311]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20250 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15330],[goToSecondFloor,20335]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20335],haveCoffeeBreak],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20335],haveSnack],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20335],improveSOTA],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[goToSecondFloor,20335],haveCoffeeBreak],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[goToSecondFloor,20335],haveSnack],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[goToSecondFloor,20335],improveSOTA],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=20250 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[takeBook,15327],[goToSecondFloor,20337]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomSnack T=20250 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buySnack,15339],[goToSecondFloor,20340]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveSnack],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],improveSOTA],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]],[[[goToSecondFloor,20340],haveSnack],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]],[[[goToSecondFloor,20340],improveSOTA],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=transparentBook T=20250 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10307],[takeBook,15323],[goToSecondFloor,20344]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20250 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buyCoffee,15341],[goToSecondFloor,20344]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]],[[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]],[[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20351 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10345],[buySnack,15347],[goToSecondFloor,20351]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20351 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15351],[goToSecondFloor,20354]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20354],haveSnack],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20354],improveSOTA],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[goToSecondFloor,20354],haveSnack],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[goToSecondFloor,20354],improveSOTA],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20351 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10355],[buyCoffee,15358],[goToSecondFloor,20363]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20363],haveCoffeeBreak],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20363],haveSnack],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20363],improveSOTA],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[goToSecondFloor,20363],haveCoffeeBreak],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]],[[[goToSecondFloor,20363],haveSnack],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]],[[[goToSecondFloor,20363],improveSOTA],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]]]
[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
[obfuscatorCoffee] I move to the second floor
[transparentBook] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25270 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15308],[goToSecondFloor,20311],[readBook,25313]] of agent randomBook with the 9 possible explanations : [[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveCoffeeBreak],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],haveSnack],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[readBook,25313],improveSOTA],[[goToSecondFloor,20311],improveSOTA],[[takeBook,15308],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25270 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10320],[buyCoffee,15330],[goToSecondFloor,20335],[drinkCoffee,25339]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],haveCoffeeBreak],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],haveSnack],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],improveSOTA],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveCoffeeBreak]],[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],haveCoffeeBreak],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],haveSnack],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]],[[[drinkCoffee,25339],haveCoffeeBreak],[[goToSecondFloor,20335],improveSOTA],[[buyCoffee,15330],haveCoffeeBreak],[[goToGroundFloor,10320],haveSnack]]]
[onlooker] Agent=obfuscatorBook T=25270 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[takeBook,15327],[goToSecondFloor,20337],[readBook,25341]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=randomSnack T=25270 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10337],[buySnack,15339],[goToSecondFloor,20340],[eatSnack,25343]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],haveSnack],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],improveSOTA],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveCoffeeBreak]],[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]],[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],haveSnack],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]],[[[eatSnack,25343],haveSnack],[[goToSecondFloor,20340],improveSOTA],[[buySnack,15339],haveSnack],[[goToGroundFloor,10337],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25270 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10338],[buyCoffee,15341],[goToSecondFloor,20344],[drinkCoffee,25347]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],haveSnack]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]],[[[drinkCoffee,25347],haveCoffeeBreak],[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15341],haveCoffeeBreak],[[goToThirdFloor,10338],improveSOTA]]]
[onlooker] Agent=transparentBook T=25270 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10307],[takeBook,15323],[goToSecondFloor,20344],[readBook,25349]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveCoffeeBreak]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],haveSnack]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]],[[[readBook,25349],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15323],improveSOTA],[[goToThirdFloor,10307],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25270 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10345],[buySnack,15347],[goToSecondFloor,20351],[eatSnack,25354]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15347],haveSnack],[[goToThirdFloor,10345],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25270 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10349],[buySnack,15351],[goToSecondFloor,20354],[eatSnack,25357]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],haveSnack],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],improveSOTA],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveCoffeeBreak]],[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],haveCoffeeBreak],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],haveSnack],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]],[[[eatSnack,25357],haveSnack],[[goToSecondFloor,20354],improveSOTA],[[buySnack,15351],haveSnack],[[goToGroundFloor,10349],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25270 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10355],[buyCoffee,15358],[goToSecondFloor,20363],[drinkCoffee,25365]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],haveCoffeeBreak],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],haveSnack],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],improveSOTA],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveCoffeeBreak]],[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],haveCoffeeBreak],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]],[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],haveSnack],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]],[[[drinkCoffee,25365],haveCoffeeBreak],[[goToSecondFloor,20363],improveSOTA],[[buyCoffee,15358],haveCoffeeBreak],[[goToGroundFloor,10355],haveSnack]]]
randomBook has achieved its goal
randomCoffee has achieved its goal
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
obfuscatorCoffee has achieved its goal
transparentBook has achieved its goal
[randomBook] I read the book
[randomCoffee] I drink my coffe
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe
[transparentBook] I read the book
[obfuscatorSnack] I eat my snack
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe
obfuscatorSnack has achieved its goal
transparentSnack has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
