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 randomCoffee
ADD obfuscatorCoffee
ADD randomSnack
ADD obfuscatorBook
ADD transparentBook
ADD transparentSnack
[obfuscatorCoffee] hello world.
[transparentBook] hello world.
[obfuscatorBook] hello world.
ADD obfuscatorSnack
ADD onlooker
ADD randomBook
ADD transparentCoffee
[obfuscatorSnack] hello world.
[onlooker] hello world.
[transparentSnack] hello world.
[transparentCoffee] hello world.
[randomSnack] hello, I will have a snack
[obfuscatorCoffee] hello, I will have a coffee break
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[randomCoffee] hello, I will have a coffee break
[obfuscatorSnack] hello, I will have a snack
[randomBook] hello, I will look for a good book to improve my state-of-the-art
onlooker has achieved its goal
[onlooker] Agent=obfuscatorBook T=10237 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10315]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToThirdFloor,10315],haveSnack]],[[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomSnack T=10338 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10321]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10321],haveCoffeeBreak]],[[[goToGroundFloor,10321],haveSnack]]]
[onlooker] Agent=transparentBook T=10338 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10324]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToThirdFloor,10324],haveSnack]],[[[goToThirdFloor,10324],improveSOTA]]]
[transparentSnack] hello, I will have a snack
[transparentCoffee] hello, I will have a coffee break
[onlooker] Agent=randomBook T=10338 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10335]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToThirdFloor,10335],haveSnack]],[[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=randomCoffee T=10338 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10338]] of agent randomCoffee with the 2 possible explanations : [[[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToGroundFloor,10338],haveSnack]]]
[onlooker] Agent=obfuscatorCoffee T=10338 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10409]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10409],haveCoffeeBreak]],[[[goToThirdFloor,10409],haveSnack]],[[[goToThirdFloor,10409],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10338 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10413]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10413],haveCoffeeBreak]],[[[goToThirdFloor,10413],haveSnack]],[[[goToThirdFloor,10413],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10338 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10423]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10423],haveCoffeeBreak]],[[[goToGroundFloor,10423],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10338 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10425]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10425],haveCoffeeBreak]],[[[goToGroundFloor,10425],haveSnack]]]
[obfuscatorBook] I move to the third floor
[randomSnack] I move to the ground floor
[onlooker] Agent=obfuscatorBook T=15259 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15318]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[randomCoffee] I move to the ground floor
[onlooker] Agent=randomSnack T=15259 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10321],[buySnack,15328]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]]]
[onlooker] Agent=randomBook T=15259 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15342]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=transparentBook T=15259 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15344]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=randomCoffee T=15259 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15346]] of agent randomCoffee with the 2 possible explanations : [[[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=obfuscatorCoffee T=15360 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10409],[buyCoffee,15410]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]]]
[transparentSnack] I move to the ground floor
[obfuscatorSnack] I move to the third floor
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentSnack T=15360 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10423],[buySnack,15424]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]]]
[onlooker] Agent=obfuscatorSnack T=15360 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10413],[buySnack,15425]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]]]
[onlooker] Agent=transparentCoffee T=15360 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10425],[buyCoffee,15427]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]]]
[obfuscatorBook] I take a book
[randomSnack] I buy a snack
[randomBook] I take a book
[transparentBook] I take a book
[randomCoffee] I buy a coffe
[onlooker] Agent=obfuscatorBook T=20276 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15318],[goToSecondFloor,20323]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomSnack T=20276 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10321],[buySnack,15328],[goToSecondFloor,20330]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20330],haveCoffeeBreak],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20330],haveSnack],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20330],improveSOTA],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[goToSecondFloor,20330],haveCoffeeBreak],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]],[[[goToSecondFloor,20330],haveSnack],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]],[[[goToSecondFloor,20330],improveSOTA],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]]]
[onlooker] Agent=randomBook T=20276 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15342],[goToSecondFloor,20345]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=transparentBook T=20276 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15344],[goToSecondFloor,20348]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=randomCoffee T=20276 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15346],[goToSecondFloor,20350]] of agent randomCoffee with the 6 possible explanations : [[[[goToSecondFloor,20350],haveCoffeeBreak],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20350],haveSnack],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20350],improveSOTA],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[goToSecondFloor,20350],haveCoffeeBreak],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[goToSecondFloor,20350],haveSnack],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[goToSecondFloor,20350],improveSOTA],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[obfuscatorCoffee] I buy a coffe
[onlooker] Agent=obfuscatorCoffee T=20377 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10409],[buyCoffee,15410],[goToSecondFloor,20413]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]],[[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]],[[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]]]
[obfuscatorSnack] I buy a snack
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[onlooker] Agent=obfuscatorSnack T=20377 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10413],[buySnack,15425],[goToSecondFloor,20426]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]],[[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]],[[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20377 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10423],[buySnack,15424],[goToSecondFloor,20427]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20427],haveCoffeeBreak],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[goToSecondFloor,20427],haveSnack],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[goToSecondFloor,20427],improveSOTA],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[goToSecondFloor,20427],haveCoffeeBreak],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]],[[[goToSecondFloor,20427],haveSnack],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]],[[[goToSecondFloor,20427],improveSOTA],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20377 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10425],[buyCoffee,15427],[goToSecondFloor,20428]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]],[[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]],[[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],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
[transparentBook] I move to the second floor
[onlooker] Agent=obfuscatorBook T=25297 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10315],[takeBook,15318],[goToSecondFloor,20323],[readBook,25326]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveCoffeeBreak]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],haveSnack]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveCoffeeBreak],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],haveSnack],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]],[[[readBook,25326],improveSOTA],[[goToSecondFloor,20323],improveSOTA],[[takeBook,15318],improveSOTA],[[goToThirdFloor,10315],improveSOTA]]]
[onlooker] Agent=randomSnack T=25297 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10321],[buySnack,15328],[goToSecondFloor,20330],[eatSnack,25332]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],haveCoffeeBreak],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],haveSnack],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],improveSOTA],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveCoffeeBreak]],[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],haveCoffeeBreak],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]],[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],haveSnack],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]],[[[eatSnack,25332],haveSnack],[[goToSecondFloor,20330],improveSOTA],[[buySnack,15328],haveSnack],[[goToGroundFloor,10321],haveSnack]]]
[obfuscatorCoffee] I move to the second floor
[obfuscatorSnack] I move to the second floor
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25297 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10335],[takeBook,15342],[goToSecondFloor,20345],[readBook,25347]] of agent randomBook with the 9 possible explanations : [[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveCoffeeBreak]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],haveSnack]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveCoffeeBreak],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],haveSnack],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]],[[[readBook,25347],improveSOTA],[[goToSecondFloor,20345],improveSOTA],[[takeBook,15342],improveSOTA],[[goToThirdFloor,10335],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25297 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10338],[buyCoffee,15346],[goToSecondFloor,20350],[drinkCoffee,25351]] of agent randomCoffee with the 6 possible explanations : [[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],haveCoffeeBreak],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],haveSnack],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],improveSOTA],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveCoffeeBreak]],[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],haveCoffeeBreak],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],haveSnack],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]],[[[drinkCoffee,25351],haveCoffeeBreak],[[goToSecondFloor,20350],improveSOTA],[[buyCoffee,15346],haveCoffeeBreak],[[goToGroundFloor,10338],haveSnack]]]
[onlooker] Agent=transparentBook T=25297 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10324],[takeBook,15344],[goToSecondFloor,20348],[readBook,25354]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveCoffeeBreak]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],haveSnack]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveCoffeeBreak],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],haveSnack],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]],[[[readBook,25354],improveSOTA],[[goToSecondFloor,20348],improveSOTA],[[takeBook,15344],improveSOTA],[[goToThirdFloor,10324],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25397 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10409],[buyCoffee,15410],[goToSecondFloor,20413],[drinkCoffee,25414]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveCoffeeBreak]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],haveSnack]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveCoffeeBreak],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],haveSnack],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]],[[[drinkCoffee,25414],haveCoffeeBreak],[[goToSecondFloor,20413],improveSOTA],[[buyCoffee,15410],haveCoffeeBreak],[[goToThirdFloor,10409],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25397 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10413],[buySnack,15425],[goToSecondFloor,20426],[eatSnack,25427]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveCoffeeBreak]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],haveSnack]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveCoffeeBreak],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],haveSnack],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]],[[[eatSnack,25427],haveSnack],[[goToSecondFloor,20426],improveSOTA],[[buySnack,15425],haveSnack],[[goToThirdFloor,10413],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25397 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10423],[buySnack,15424],[goToSecondFloor,20427],[eatSnack,25428]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],haveCoffeeBreak],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],haveSnack],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],improveSOTA],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveCoffeeBreak]],[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],haveCoffeeBreak],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]],[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],haveSnack],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]],[[[eatSnack,25428],haveSnack],[[goToSecondFloor,20427],improveSOTA],[[buySnack,15424],haveSnack],[[goToGroundFloor,10423],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25397 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10425],[buyCoffee,15427],[goToSecondFloor,20428],[drinkCoffee,25429]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveCoffeeBreak]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveCoffeeBreak],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],haveSnack],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]],[[[drinkCoffee,25429],haveCoffeeBreak],[[goToSecondFloor,20428],improveSOTA],[[buyCoffee,15427],haveCoffeeBreak],[[goToGroundFloor,10425],haveSnack]]]
obfuscatorBook has achieved its goal
randomSnack has achieved its goal
randomBook has achieved its goal
randomCoffee has achieved its goal
[obfuscatorBook] I read the book
[randomSnack] I eat my snack
[randomBook] I read the book
[randomCoffee] I drink my coffe
transparentBook has achieved its goal
obfuscatorCoffee has achieved its goal
transparentSnack has achieved its goal
obfuscatorSnack has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[transparentBook] I read the book
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack
[obfuscatorSnack] I eat my snack
[transparentCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
