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

ADD transparentSnack[transparentCoffee] hello world.
ADD randomSnack
ADD randomCoffee
ADD obfuscatorSnack
ADD obfuscatorCoffee
ADD obfuscatorBook
ADD onlooker
ADD transparentBook
ADD transparentCoffee

[transparentBook] hello world.
[randomBook] hello, I will look for a good book to improve my state-of-the-art
[randomCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[transparentSnack] hello, I will have a snack
[obfuscatorSnack] hello, I will have a snack
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[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
onlooker has achieved its goal
[onlooker] Agent=randomBook T=10220 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10297]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10297],haveCoffeeBreak]],[[[goToThirdFloor,10297],haveSnack]],[[[goToThirdFloor,10297],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10321 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10310]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToThirdFloor,10310],haveSnack]],[[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=transparentBook T=10321 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10315]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToThirdFloor,10315],haveSnack]],[[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomSnack T=10321 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10315]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToThirdFloor,10315],haveSnack]],[[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10321 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10328]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10328],haveCoffeeBreak]],[[[goToGroundFloor,10328],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10321 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=10321 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10376]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10376],haveCoffeeBreak]],[[[goToThirdFloor,10376],haveSnack]],[[[goToThirdFloor,10376],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10321 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10391]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10391],haveCoffeeBreak]],[[[goToGroundFloor,10391],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10321 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10393]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10393],haveCoffeeBreak]],[[[goToThirdFloor,10393],haveSnack]],[[[goToThirdFloor,10393],improveSOTA]]]
[randomBook] I move to the third floor
[obfuscatorBook] I move to the third floor
[transparentBook] I move to the third floor
[randomSnack] I move to the third floor
[onlooker] Agent=randomBook T=15244 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10297],[takeBook,15300]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15244 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[takeBook,15315]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[randomCoffee] I move to the ground floor
[obfuscatorSnack] I move to the third floor
[onlooker] Agent=transparentBook T=15244 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15319]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[obfuscatorCoffee] I move to the third floor
[transparentSnack] I move to the ground floor
[onlooker] Agent=randomSnack T=15244 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[buySnack,15320]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15344 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=randomCoffee T=15344 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10328],[buyCoffee,15367]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15344 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10376],[buySnack,15378]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=15344 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10393],[buyCoffee,15394]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15344 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10391],[buySnack,15395]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]]]
[randomBook] I take a book
[randomSnack] I buy a snack
[obfuscatorBook] I take a book
[transparentBook] I take a book
[randomCoffee] I buy a coffe
[transparentCoffee] I buy a coffe
[obfuscatorSnack] I buy a snack
[onlooker] Agent=randomBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10297],[takeBook,15300],[goToSecondFloor,20302]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]],[[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]],[[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]]]
[transparentSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=randomSnack T=20268 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[buySnack,15320],[goToSecondFloor,20323]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[takeBook,15315],[goToSecondFloor,20325]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]],[[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]],[[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=transparentBook T=20268 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15319],[goToSecondFloor,20332]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20369 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10328],[buyCoffee,15367],[goToSecondFloor,20369]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]],[[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]],[[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20369 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367],[goToSecondFloor,20369]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=20369 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10376],[buySnack,15378],[goToSecondFloor,20381]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]],[[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]],[[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20369 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10393],[buyCoffee,15394],[goToSecondFloor,20397]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]],[[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]],[[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20369 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10391],[buySnack,15395],[goToSecondFloor,20397]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20397],haveCoffeeBreak],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[goToSecondFloor,20397],haveSnack],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[goToSecondFloor,20397],improveSOTA],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[goToSecondFloor,20397],haveCoffeeBreak],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]],[[[goToSecondFloor,20397],haveSnack],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]],[[[goToSecondFloor,20397],improveSOTA],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]]]
[randomBook] I move to the second floor
[randomSnack] I move to the second floor
[obfuscatorBook] I move to the second floor
[transparentBook] I move to the second floor
[onlooker] Agent=randomBook T=25287 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10297],[takeBook,15300],[goToSecondFloor,20302],[readBook,25304]] of agent randomBook with the 9 possible explanations : [[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveCoffeeBreak]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],haveSnack]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveCoffeeBreak],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],haveSnack],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]],[[[readBook,25304],improveSOTA],[[goToSecondFloor,20302],improveSOTA],[[takeBook,15300],improveSOTA],[[goToThirdFloor,10297],improveSOTA]]]
[transparentCoffee] I move to the second floor
[randomCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=randomSnack T=25287 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[buySnack,15320],[goToSecondFloor,20323],[eatSnack,25326]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],haveSnack]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],haveSnack],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]],[[[eatSnack,25326],haveSnack],[[goToSecondFloor,20323],improveSOTA],[[buySnack,15320],haveSnack],[[goToThirdFloor,10315],improveSOTA]]]
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25287 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[takeBook,15315],[goToSecondFloor,20325],[readBook,25336]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveCoffeeBreak],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],haveSnack],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20325],improveSOTA],[[takeBook,15315],improveSOTA],[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=transparentBook T=25287 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15319],[goToSecondFloor,20332],[readBook,25336]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveCoffeeBreak],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],haveSnack],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25336],improveSOTA],[[goToSecondFloor,20332],improveSOTA],[[takeBook,15319],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25287 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10364],[buyCoffee,15367],[goToSecondFloor,20369],[drinkCoffee,25372]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10364],haveSnack]]]
[transparentSnack] I move to the second floor
[onlooker] Agent=randomCoffee T=25287 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10328],[buyCoffee,15367],[goToSecondFloor,20369],[drinkCoffee,25374]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveCoffeeBreak]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],haveCoffeeBreak],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],haveSnack],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]],[[[drinkCoffee,25374],haveCoffeeBreak],[[goToSecondFloor,20369],improveSOTA],[[buyCoffee,15367],haveCoffeeBreak],[[goToGroundFloor,10328],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25287 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10376],[buySnack,15378],[goToSecondFloor,20381],[eatSnack,25384]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveCoffeeBreak]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],haveSnack]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveCoffeeBreak],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],haveSnack],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]],[[[eatSnack,25384],haveSnack],[[goToSecondFloor,20381],improveSOTA],[[buySnack,15378],haveSnack],[[goToThirdFloor,10376],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25387 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10393],[buyCoffee,15394],[goToSecondFloor,20397],[drinkCoffee,25399]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveCoffeeBreak]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],haveSnack]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveCoffeeBreak],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],haveSnack],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]],[[[drinkCoffee,25399],haveCoffeeBreak],[[goToSecondFloor,20397],improveSOTA],[[buyCoffee,15394],haveCoffeeBreak],[[goToThirdFloor,10393],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25387 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10391],[buySnack,15395],[goToSecondFloor,20397],[eatSnack,25448]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],haveCoffeeBreak],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],haveSnack],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],improveSOTA],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveCoffeeBreak]],[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],haveCoffeeBreak],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]],[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],haveSnack],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]],[[[eatSnack,25448],haveSnack],[[goToSecondFloor,20397],improveSOTA],[[buySnack,15395],haveSnack],[[goToGroundFloor,10391],haveSnack]]]
randomBook has achieved its goal
randomSnack has achieved its goal
transparentBook has achieved its goal
obfuscatorBook has achieved its goal
[randomBook] I read the book
[randomSnack] I eat my snack
[transparentBook] I read the book
[obfuscatorBook] I read the book
transparentCoffee has achieved its goal
randomCoffee has achieved its goal
obfuscatorSnack has achieved its goal
obfuscatorCoffee has achieved its goal
transparentSnack has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentCoffee] I drink my coffe
[randomCoffee] I drink my coffe
[obfuscatorSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
