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
ADD onlooker
[onlooker] hello world.ADD transparentCoffee

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

[obfuscatorCoffee] hello world.
[obfuscatorBook] hello world.
[transparentBook] hello world.
[obfuscatorSnack] hello world.
[transparentSnack] 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
[obfuscatorCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[transparentCoffee] hello, I will have a coffee break
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[transparentSnack] hello, I will have a snack
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorSnack] hello, I will have a snack
onlooker has achieved its goal
[onlooker] Agent=randomBook T=10223 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10303]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToThirdFloor,10303],haveSnack]],[[[goToThirdFloor,10303],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10310]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToThirdFloor,10310],haveSnack]],[[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=randomSnack T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10313]] of agent randomSnack with the 3 possible explanations : [[[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToThirdFloor,10313],haveSnack]],[[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10313]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToThirdFloor,10313],haveSnack]],[[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=transparentBook T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10321]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10321],haveCoffeeBreak]],[[[goToThirdFloor,10321],haveSnack]],[[[goToThirdFloor,10321],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=10324 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10385]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10385],haveCoffeeBreak]],[[[goToGroundFloor,10385],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10389]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10389],haveCoffeeBreak]],[[[goToThirdFloor,10389],haveSnack]],[[[goToThirdFloor,10389],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10324 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10397]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10397],haveCoffeeBreak]],[[[goToThirdFloor,10397],haveSnack]],[[[goToThirdFloor,10397],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10324 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10401]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10401],haveCoffeeBreak]],[[[goToGroundFloor,10401],haveSnack]]]
[randomBook] I move to the third floor
[obfuscatorBook] I move to the third floor
[randomSnack] I move to the third floor
[transparentBook] I move to the third floor
[randomCoffee] I move to the third floor
[onlooker] Agent=randomBook T=15246 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15306]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[onlooker] Agent=randomSnack T=15246 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[buySnack,15318]] of agent randomSnack with the 3 possible explanations : [[[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=15246 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[takeBook,15318]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=transparentBook T=15246 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10321],[takeBook,15326]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15246 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[buyCoffee,15329]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=transparentCoffee T=15346 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10385],[buyCoffee,15388]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]]]
[obfuscatorSnack] I move to the third floor
[transparentSnack] I move to the ground floor
[onlooker] Agent=obfuscatorCoffee T=15346 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10389],[buyCoffee,15390]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]]]
[onlooker] Agent=transparentSnack T=15346 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10401],[buySnack,15402]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15346 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10397],[buySnack,15402]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]]]
[randomBook] I take a book
[randomSnack] I buy a snack
[obfuscatorBook] I take a book
[randomCoffee] I buy a coffe
[transparentBook] I take a book
[onlooker] Agent=randomBook T=20267 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15306],[goToSecondFloor,20310]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[transparentCoffee] I buy a coffe
[obfuscatorCoffee] I buy a coffe
[transparentSnack] I buy a snack
[obfuscatorSnack] I buy a snack
[onlooker] Agent=randomSnack T=20267 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[buySnack,15318],[goToSecondFloor,20320]] of agent randomSnack with the 9 possible explanations : [[[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]],[[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]],[[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20267 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[takeBook,15318],[goToSecondFloor,20326]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]],[[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]],[[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20267 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[buyCoffee,15329],[goToSecondFloor,20333]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]],[[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]],[[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=transparentBook T=20267 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10321],[takeBook,15326],[goToSecondFloor,20336]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]],[[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]],[[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=20368 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10385],[buyCoffee,15388],[goToSecondFloor,20390]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20390],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[goToSecondFloor,20390],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[goToSecondFloor,20390],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[goToSecondFloor,20390],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]],[[[goToSecondFloor,20390],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]],[[[goToSecondFloor,20390],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=20368 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10389],[buyCoffee,15390],[goToSecondFloor,20393]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]],[[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]],[[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20368 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10401],[buySnack,15402],[goToSecondFloor,20403]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20403],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[goToSecondFloor,20403],haveSnack],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[goToSecondFloor,20403],improveSOTA],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[goToSecondFloor,20403],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]],[[[goToSecondFloor,20403],haveSnack],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]],[[[goToSecondFloor,20403],improveSOTA],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=20368 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10397],[buySnack,15402],[goToSecondFloor,20405]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]],[[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]],[[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]]]
[randomBook] I move to the second floor
[randomSnack] I move to the second floor
[obfuscatorBook] I move to the second floor
[randomCoffee] I move to the second floor
[transparentBook] I move to the second floor
[transparentCoffee] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25303 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10303],[takeBook,15306],[goToSecondFloor,20310],[readBook,25312]] of agent randomBook with the 9 possible explanations : [[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveCoffeeBreak]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],haveSnack]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveCoffeeBreak],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],haveSnack],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]],[[[readBook,25312],improveSOTA],[[goToSecondFloor,20310],improveSOTA],[[takeBook,15306],improveSOTA],[[goToThirdFloor,10303],improveSOTA]]]
[transparentSnack] I move to the second floor
[obfuscatorSnack] I move to the second floor
[onlooker] Agent=randomSnack T=25303 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[buySnack,15318],[goToSecondFloor,20320],[eatSnack,25322]] of agent randomSnack with the 9 possible explanations : [[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],haveSnack]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveCoffeeBreak],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],haveSnack],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]],[[[eatSnack,25322],haveSnack],[[goToSecondFloor,20320],improveSOTA],[[buySnack,15318],haveSnack],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25303 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10313],[takeBook,15318],[goToSecondFloor,20326],[readBook,25330]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveCoffeeBreak]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],haveSnack]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]],[[[readBook,25330],improveSOTA],[[goToSecondFloor,20326],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10313],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25303 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10310],[buyCoffee,15329],[goToSecondFloor,20333],[drinkCoffee,25335]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveCoffeeBreak]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],haveSnack]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveCoffeeBreak],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],haveSnack],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]],[[[drinkCoffee,25335],haveCoffeeBreak],[[goToSecondFloor,20333],improveSOTA],[[buyCoffee,15329],haveCoffeeBreak],[[goToThirdFloor,10310],improveSOTA]]]
[onlooker] Agent=transparentBook T=25303 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10321],[takeBook,15326],[goToSecondFloor,20336],[readBook,25371]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveCoffeeBreak]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],haveSnack]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveCoffeeBreak],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],haveSnack],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]],[[[readBook,25371],improveSOTA],[[goToSecondFloor,20336],improveSOTA],[[takeBook,15326],improveSOTA],[[goToThirdFloor,10321],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=25303 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10385],[buyCoffee,15388],[goToSecondFloor,20390],[drinkCoffee,25393]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveCoffeeBreak]],[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],haveCoffeeBreak],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]],[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],haveSnack],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]],[[[drinkCoffee,25393],haveCoffeeBreak],[[goToSecondFloor,20390],improveSOTA],[[buyCoffee,15388],haveCoffeeBreak],[[goToGroundFloor,10385],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=25303 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10389],[buyCoffee,15390],[goToSecondFloor,20393],[drinkCoffee,25395]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveCoffeeBreak]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],haveSnack]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveCoffeeBreak],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],haveSnack],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]],[[[drinkCoffee,25395],haveCoffeeBreak],[[goToSecondFloor,20393],improveSOTA],[[buyCoffee,15390],haveCoffeeBreak],[[goToThirdFloor,10389],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25403 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10401],[buySnack,15402],[goToSecondFloor,20403],[eatSnack,25405]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],haveSnack],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],improveSOTA],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveCoffeeBreak]],[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]],[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],haveSnack],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]],[[[eatSnack,25405],haveSnack],[[goToSecondFloor,20403],improveSOTA],[[buySnack,15402],haveSnack],[[goToGroundFloor,10401],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=25403 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10397],[buySnack,15402],[goToSecondFloor,20405],[eatSnack,25406]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveCoffeeBreak]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],haveSnack]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveCoffeeBreak],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],haveSnack],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]],[[[eatSnack,25406],haveSnack],[[goToSecondFloor,20405],improveSOTA],[[buySnack,15402],haveSnack],[[goToThirdFloor,10397],improveSOTA]]]
randomBook has achieved its goal
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
[randomBook] I read the book
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
transparentBook has achieved its goal
transparentCoffee has achieved its goal
obfuscatorCoffee has achieved its goal
transparentSnack has achieved its goal
obfuscatorSnack has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentBook] I read the book
[transparentCoffee] I drink my coffe
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack
[obfuscatorSnack] I eat my snack

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
