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

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

init:

user-init:

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

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

ADD onlooker[obfuscatorSnack] hello world.

[transparentSnack] hello world.ADD randomSnack

ADD transparentSnack
ADD transparentCoffee
ADD obfuscatorCoffee
ADD transparentBook
ADD randomCoffee
ADD obfuscatorSnack
[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
[randomSnack] hello, I will have a snack
[transparentCoffee] hello, I will have a coffee break
[obfuscatorCoffee] hello, I will have a coffee break
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[randomCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[transparentSnack] hello, I will have a snack
[onlooker] Agent=randomBook T=10248 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10322]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToThirdFloor,10322],haveSnack]],[[[goToThirdFloor,10322],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10349 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10325]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToThirdFloor,10325],haveSnack]],[[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentBook T=10349 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10330]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10330],haveCoffeeBreak]],[[[goToThirdFloor,10330],haveSnack]],[[[goToThirdFloor,10330],improveSOTA]]]
[onlooker] Agent=randomSnack T=10349 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10336]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToThirdFloor,10336],haveSnack]],[[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10349 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10338]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToGroundFloor,10338],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10349 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentSnack T=10349 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10410]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10410],haveCoffeeBreak]],[[[goToGroundFloor,10410],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10349 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10414]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10414],haveCoffeeBreak]],[[[goToThirdFloor,10414],haveSnack]],[[[goToThirdFloor,10414],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10349 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10417]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10417],haveCoffeeBreak]],[[[goToThirdFloor,10417],haveSnack]],[[[goToThirdFloor,10417],improveSOTA]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[randomCoffee] I move to the ground floor
[randomSnack] I move to the third floor
[onlooker] Agent=randomBook T=15272 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[obfuscatorBook] I move to the third floor
[onlooker] Agent=randomCoffee T=15272 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15342]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[onlooker] Agent=transparentBook T=15272 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10330],[takeBook,15345]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]]]
[onlooker] Agent=randomSnack T=15272 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15345]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[transparentSnack] I move to the ground floor
[onlooker] Agent=obfuscatorBook T=15272 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[takeBook,15355]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=transparentCoffee T=15373 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentSnack T=15373 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10410],[buySnack,15412]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]]]
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=obfuscatorSnack T=15373 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10414],[buySnack,15416]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15373 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10417],[buyCoffee,15427]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]]]
[randomBook] I take a book
[randomCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20289 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[randomSnack] I buy a snack
[transparentBook] I take a book
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326],[goToSecondFloor,20330]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[obfuscatorBook] I take a book
[onlooker] Agent=randomCoffee T=20289 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15342],[goToSecondFloor,20344]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[onlooker] Agent=randomSnack T=20289 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15345],[goToSecondFloor,20351]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[transparentCoffee] I buy a coffe
[transparentSnack] I buy a snack
[obfuscatorSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=transparentBook T=20289 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10330],[takeBook,15345],[goToSecondFloor,20353]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]],[[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]],[[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20289 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[takeBook,15355],[goToSecondFloor,20358]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]],[[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]],[[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20389 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405],[goToSecondFloor,20407]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20407],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20407],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20407],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[goToSecondFloor,20407],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20407],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[goToSecondFloor,20407],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=transparentSnack T=20389 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10410],[buySnack,15412],[goToSecondFloor,20415]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20415],haveCoffeeBreak],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[goToSecondFloor,20415],haveSnack],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[goToSecondFloor,20415],improveSOTA],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[goToSecondFloor,20415],haveCoffeeBreak],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]],[[[goToSecondFloor,20415],haveSnack],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]],[[[goToSecondFloor,20415],improveSOTA],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=20389 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10414],[buySnack,15416],[goToSecondFloor,20418]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]],[[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]],[[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20389 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10417],[buyCoffee,15427],[goToSecondFloor,20428]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]],[[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]],[[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]]]
[randomBook] I move to the second floor
[randomCoffee] I move to the second floor
[randomSnack] I move to the second floor
[transparentBook] I move to the second floor
[obfuscatorBook] I move to the second floor
[onlooker] Agent=randomBook T=25312 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10322],[takeBook,15326],[goToSecondFloor,20330],[readBook,25332]] of agent randomBook with the 9 possible explanations : [[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveCoffeeBreak]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],haveSnack]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]],[[[readBook,25332],improveSOTA],[[goToSecondFloor,20330],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10322],improveSOTA]]]
[transparentCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[onlooker] Agent=randomCoffee T=25312 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15342],[goToSecondFloor,20344],[drinkCoffee,25346]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],haveCoffeeBreak],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],haveSnack],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[drinkCoffee,25346],haveCoffeeBreak],[[goToSecondFloor,20344],improveSOTA],[[buyCoffee,15342],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25312 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15345],[goToSecondFloor,20351],[eatSnack,25354]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveCoffeeBreak],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],haveSnack],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25354],haveSnack],[[goToSecondFloor,20351],improveSOTA],[[buySnack,15345],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=transparentBook T=25312 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10330],[takeBook,15345],[goToSecondFloor,20353],[readBook,25356]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveCoffeeBreak]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],haveSnack]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveCoffeeBreak],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],haveSnack],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]],[[[readBook,25356],improveSOTA],[[goToSecondFloor,20353],improveSOTA],[[takeBook,15345],improveSOTA],[[goToThirdFloor,10330],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25312 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10325],[takeBook,15355],[goToSecondFloor,20358],[readBook,25361]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveCoffeeBreak]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],haveSnack]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]],[[[readBook,25361],improveSOTA],[[goToSecondFloor,20358],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10325],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25312 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10402],[buyCoffee,15405],[goToSecondFloor,20407],[drinkCoffee,25409]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveCoffeeBreak]],[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],haveCoffeeBreak],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],haveSnack],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]],[[[drinkCoffee,25409],haveCoffeeBreak],[[goToSecondFloor,20407],improveSOTA],[[buyCoffee,15405],haveCoffeeBreak],[[goToGroundFloor,10402],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25412 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10414],[buySnack,15416],[goToSecondFloor,20418],[eatSnack,25419]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],haveSnack]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveCoffeeBreak],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],haveSnack],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20418],improveSOTA],[[buySnack,15416],haveSnack],[[goToThirdFloor,10414],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25412 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10410],[buySnack,15412],[goToSecondFloor,20415],[eatSnack,25419]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],haveCoffeeBreak],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],haveSnack],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],improveSOTA],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveCoffeeBreak]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],haveCoffeeBreak],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],haveSnack],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]],[[[eatSnack,25419],haveSnack],[[goToSecondFloor,20415],improveSOTA],[[buySnack,15412],haveSnack],[[goToGroundFloor,10410],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25412 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10417],[buyCoffee,15427],[goToSecondFloor,20428],[drinkCoffee,25429]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToThirdFloor,10417],improveSOTA]]]
randomBook has achieved its goal
randomCoffee has achieved its goal
[randomBook] I read the book
[randomCoffee] I drink my coffe
[randomSnack] I eat my snack
[transparentBook] I read the book
[obfuscatorBook] I read the book
randomSnack has achieved its goal
transparentBook has achieved its goal
obfuscatorBook has achieved its goal
transparentCoffee has achieved its goal
obfuscatorSnack has achieved its goal
transparentSnack has achieved its goal
obfuscatorCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentCoffee] I drink my coffe
[obfuscatorSnack] I eat my snack
[transparentSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
