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

ADD obfuscatorSnack
ADD onlooker[transparentSnack] hello world.
ADD transparentSnack
ADD obfuscatorCoffee
[obfuscatorCoffee] hello world.

[obfuscatorBook] hello world.ADD obfuscatorBook

ADD randomCoffee[transparentCoffee] hello world.

[transparentBook] hello world.
ADD transparentCoffee
ADD transparentBook
ADD randomSnack
onlooker has achieved its goal
[randomBook] 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
[randomCoffee] hello, I will have a coffee break
[transparentCoffee] 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
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=randomBook T=10244 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=transparentBook T=10345 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10335]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToThirdFloor,10335],haveSnack]],[[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10345 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10340]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToThirdFloor,10340],haveSnack]],[[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=randomSnack T=10345 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10340]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToThirdFloor,10340],haveSnack]],[[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10345 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10346]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToThirdFloor,10346],haveSnack]],[[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10345 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10353]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10353],haveCoffeeBreak]],[[[goToThirdFloor,10353],haveSnack]],[[[goToThirdFloor,10353],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10345 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10371]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10345 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=transparentCoffee T=10345 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10376]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10376],haveCoffeeBreak]],[[[goToGroundFloor,10376],haveSnack]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[randomSnack] I move to the third floor
[randomCoffee] I move to the third floor
[obfuscatorBook] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomBook T=15267 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[obfuscatorCoffee] I move to the third floor
[transparentSnack] I move to the ground floor
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentBook T=15267 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15345]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=randomSnack T=15267 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buySnack,15346]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15267 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buyCoffee,15351]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15267 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[takeBook,15355]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15267 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10353],[buySnack,15356]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15367 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15375]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=15367 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15378]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15367 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10376],[buyCoffee,15378]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]]]
[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
[obfuscatorSnack] I buy a snack
[onlooker] Agent=randomBook T=20285 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327],[goToSecondFloor,20331]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=transparentBook T=20285 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15345],[goToSecondFloor,20351]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=randomSnack T=20285 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buySnack,15346],[goToSecondFloor,20351]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20285 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buyCoffee,15351],[goToSecondFloor,20356]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]],[[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]],[[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20285 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[takeBook,15355],[goToSecondFloor,20360]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20285 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10353],[buySnack,15356],[goToSecondFloor,20363]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]],[[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]],[[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20285 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15375],[goToSecondFloor,20377]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20377],haveSnack],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20377],improveSOTA],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[goToSecondFloor,20377],haveSnack],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[goToSecondFloor,20377],improveSOTA],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20285 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10376],[buyCoffee,15378],[goToSecondFloor,20380]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20380],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20380],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20380],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20380],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]],[[[goToSecondFloor,20380],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]],[[[goToSecondFloor,20380],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20285 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15378],[goToSecondFloor,20381]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
[randomBook] I move to the second floor
[randomCoffee] I move to the second floor
[randomSnack] I move to the second floor
[obfuscatorBook] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentBook] I move to the second floor
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15327],[goToSecondFloor,20331],[readBook,25333]] of agent randomBook with the 9 possible explanations : [[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveCoffeeBreak],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],haveSnack],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25333],improveSOTA],[[goToSecondFloor,20331],improveSOTA],[[takeBook,15327],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buyCoffee,15351],[goToSecondFloor,20356],[drinkCoffee,25359]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],haveSnack]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveCoffeeBreak],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],haveSnack],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]],[[[drinkCoffee,25359],haveCoffeeBreak],[[goToSecondFloor,20356],improveSOTA],[[buyCoffee,15351],haveCoffeeBreak],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=randomSnack T=25310 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10340],[buySnack,15346],[goToSecondFloor,20351],[eatSnack,25360]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveCoffeeBreak]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],haveSnack]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]],[[[eatSnack,25360],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15346],haveSnack],[[goToThirdFloor,10340],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10346],[takeBook,15355],[goToSecondFloor,20360],[readBook,25363]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveCoffeeBreak]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],haveSnack]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]],[[[readBook,25363],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10346],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25310 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10353],[buySnack,15356],[goToSecondFloor,20363],[eatSnack,25368]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveCoffeeBreak]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],haveSnack]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveCoffeeBreak],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],haveSnack],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]],[[[eatSnack,25368],haveSnack],[[goToSecondFloor,20363],improveSOTA],[[buySnack,15356],haveSnack],[[goToThirdFloor,10353],improveSOTA]]]
[onlooker] Agent=transparentBook T=25310 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15345],[goToSecondFloor,20351],[readBook,25375]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[readBook,25375],improveSOTA],[[goToSecondFloor,20351],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25310 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15375],[goToSecondFloor,20377],[eatSnack,25379]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],haveSnack],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],improveSOTA],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],haveCoffeeBreak],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],haveSnack],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[eatSnack,25379],haveSnack],[[goToSecondFloor,20377],improveSOTA],[[buySnack,15375],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10376],[buyCoffee,15378],[goToSecondFloor,20380],[drinkCoffee,25381]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20380],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToGroundFloor,10376],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25310 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10373],[buyCoffee,15378],[goToSecondFloor,20381],[drinkCoffee,25382]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveCoffeeBreak]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],haveSnack]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveCoffeeBreak],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],haveSnack],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]],[[[drinkCoffee,25382],haveCoffeeBreak],[[goToSecondFloor,20381],improveSOTA],[[buyCoffee,15378],haveCoffeeBreak],[[goToThirdFloor,10373],improveSOTA]]]
randomBook has achieved its goal
[randomBook] I read the book
randomCoffee has achieved its goal
randomSnack has achieved its goal
obfuscatorBook has achieved its goal
obfuscatorSnack has achieved its goal
transparentBook has achieved its goal
transparentSnack has achieved its goal
transparentCoffee has achieved its goal
obfuscatorCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[randomCoffee] I drink my coffe
[randomSnack] I eat my snack
[obfuscatorBook] I read the book
[obfuscatorSnack] I eat my snack
[transparentBook] I read the book
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
