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

ADD obfuscatorCoffee[transparentCoffee] hello world.
ADD obfuscatorSnack
ADD randomSnack

[transparentBook] hello world.
ADD transparentSnack
ADD transparentCoffee
ADD randomBook
onlooker has achieved its goal
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[randomCoffee] hello, I will have a coffee break
[obfuscatorCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[transparentSnack] hello, I will have a snack
[randomSnack] hello, I will have a snack
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[transparentCoffee] hello, I will have a coffee break
[onlooker] Agent=obfuscatorBook T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10327]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToThirdFloor,10327],haveSnack]],[[[goToThirdFloor,10327],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10333]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToThirdFloor,10333],haveSnack]],[[[goToThirdFloor,10333],improveSOTA]]]
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=randomSnack T=10315 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=randomBook T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10337]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10337],haveCoffeeBreak]],[[[goToThirdFloor,10337],haveSnack]],[[[goToThirdFloor,10337],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10315 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=transparentBook T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10377]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10377],haveCoffeeBreak]],[[[goToThirdFloor,10377],haveSnack]],[[[goToThirdFloor,10377],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10378]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10378],haveCoffeeBreak]],[[[goToThirdFloor,10378],haveSnack]],[[[goToThirdFloor,10378],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10315 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10380]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToGroundFloor,10380],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10382]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10382],haveCoffeeBreak]],[[[goToThirdFloor,10382],haveSnack]],[[[goToThirdFloor,10382],improveSOTA]]]
[obfuscatorBook] I move to the third floor
[randomSnack] I move to the third floor
[randomBook] I move to the third floor
[randomCoffee] I move to the third floor
[onlooker] Agent=obfuscatorBook T=15243 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15330]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[transparentSnack] I move to the ground floor
[onlooker] Agent=randomSnack T=15243 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15338]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[transparentBook] I move to the third floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=randomBook T=15243 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10337],[takeBook,15342]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]]]
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=randomCoffee T=15345 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[buyCoffee,15347]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15345 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buySnack,15366]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=transparentBook T=15345 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10377],[takeBook,15378]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=15345 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10378],[buySnack,15379]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15345 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10382],[buyCoffee,15383]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentCoffee T=15345 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15416]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
[obfuscatorBook] I take a book
[randomSnack] I buy a snack
[randomBook] I take a book
[randomCoffee] I buy a coffe
[transparentSnack] I buy a snack
[transparentBook] I take a book
[obfuscatorSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=obfuscatorBook T=20262 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15330],[goToSecondFloor,20337]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomSnack T=20262 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15338],[goToSecondFloor,20340]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomBook T=20262 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10337],[takeBook,15342],[goToSecondFloor,20344]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]],[[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]],[[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20262 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[buyCoffee,15347],[goToSecondFloor,20348]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]],[[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]],[[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20362 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buySnack,15366],[goToSecondFloor,20370]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveSnack],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],improveSOTA],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20370],haveSnack],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20370],improveSOTA],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=transparentBook T=20362 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10377],[takeBook,15378],[goToSecondFloor,20380]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]],[[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]],[[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20362 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10378],[buySnack,15379],[goToSecondFloor,20383]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]],[[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]],[[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20362 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10382],[buyCoffee,15383],[goToSecondFloor,20386]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]],[[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]],[[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20362 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15416],[goToSecondFloor,20417]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20417],haveCoffeeBreak],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20417],haveSnack],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20417],improveSOTA],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[goToSecondFloor,20417],haveCoffeeBreak],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[goToSecondFloor,20417],haveSnack],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[goToSecondFloor,20417],improveSOTA],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
[obfuscatorBook] I move to the second floor
[randomSnack] I move to the second floor
[randomBook] I move to the second floor
[randomCoffee] I move to the second floor
[transparentSnack] I move to the second floor
[obfuscatorSnack] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[transparentBook] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25288 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10327],[takeBook,15330],[goToSecondFloor,20337],[readBook,25341]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveCoffeeBreak]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],haveSnack]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveCoffeeBreak],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],haveSnack],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]],[[[readBook,25341],improveSOTA],[[goToSecondFloor,20337],improveSOTA],[[takeBook,15330],improveSOTA],[[goToThirdFloor,10327],improveSOTA]]]
[transparentCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25288 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10336],[buySnack,15338],[goToSecondFloor,20340],[eatSnack,25345]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveCoffeeBreak]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],haveSnack]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveCoffeeBreak],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],haveSnack],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]],[[[eatSnack,25345],haveSnack],[[goToSecondFloor,20340],improveSOTA],[[buySnack,15338],haveSnack],[[goToThirdFloor,10336],improveSOTA]]]
[onlooker] Agent=randomBook T=25288 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10337],[takeBook,15342],[goToSecondFloor,20344],[readBook,25347]] of agent randomBook with the 9 possible explanations : [[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20344],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10337],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25288 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10333],[buyCoffee,15347],[goToSecondFloor,20348],[drinkCoffee,25367]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveCoffeeBreak]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],haveSnack]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveCoffeeBreak],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],haveSnack],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]],[[[drinkCoffee,25367],haveCoffeeBreak],[[goToSecondFloor,20348],improveSOTA],[[buyCoffee,15347],haveCoffeeBreak],[[goToThirdFloor,10333],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25288 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buySnack,15366],[goToSecondFloor,20370],[eatSnack,25373]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],haveSnack],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],improveSOTA],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],haveCoffeeBreak],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]],[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],haveSnack],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]],[[[eatSnack,25373],haveSnack],[[goToSecondFloor,20370],improveSOTA],[[buySnack,15366],haveSnack],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25288 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10378],[buySnack,15379],[goToSecondFloor,20383],[eatSnack,25385]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveCoffeeBreak]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],haveSnack]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveCoffeeBreak],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],haveSnack],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]],[[[eatSnack,25385],haveSnack],[[goToSecondFloor,20383],improveSOTA],[[buySnack,15379],haveSnack],[[goToThirdFloor,10378],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25288 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10382],[buyCoffee,15383],[goToSecondFloor,20386],[drinkCoffee,25387]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveCoffeeBreak]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],haveSnack]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveCoffeeBreak],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],haveSnack],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]],[[[drinkCoffee,25387],haveCoffeeBreak],[[goToSecondFloor,20386],improveSOTA],[[buyCoffee,15383],haveCoffeeBreak],[[goToThirdFloor,10382],improveSOTA]]]
[onlooker] Agent=transparentBook T=25389 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10377],[takeBook,15378],[goToSecondFloor,20380],[readBook,25389]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveCoffeeBreak]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],haveSnack]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveCoffeeBreak],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],haveSnack],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]],[[[readBook,25389],improveSOTA],[[goToSecondFloor,20380],improveSOTA],[[takeBook,15378],improveSOTA],[[goToThirdFloor,10377],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25389 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10380],[buyCoffee,15416],[goToSecondFloor,20417],[drinkCoffee,25418]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],haveCoffeeBreak],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],haveSnack],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],improveSOTA],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveCoffeeBreak]],[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],haveCoffeeBreak],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],haveSnack],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]],[[[drinkCoffee,25418],haveCoffeeBreak],[[goToSecondFloor,20417],improveSOTA],[[buyCoffee,15416],haveCoffeeBreak],[[goToGroundFloor,10380],haveSnack]]]
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
randomBook has achieved its goal
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[randomBook] I read the book
randomCoffee has achieved its goal
transparentSnack has achieved its goal
obfuscatorSnack has achieved its goal
obfuscatorCoffee has achieved its goal
transparentBook has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[randomCoffee] I drink my coffe
[transparentSnack] I eat my snack
[obfuscatorSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe
[transparentBook] I read the book
[transparentCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
