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
[onlooker] hello world.
[transparentBook] hello world.
[obfuscatorSnack] hello world.
[obfuscatorCoffee] hello world.
ADD randomBook
ADD onlooker
ADD transparentBook[transparentSnack] hello world.
ADD obfuscatorCoffee

ADD obfuscatorSnack[transparentCoffee] hello world.
ADD randomCoffee

ADD transparentSnack
ADD transparentCoffee
ADD randomSnack
[obfuscatorBook] hello world.
ADD obfuscatorBook
[randomBook] hello, I will look for a good book to improve my state-of-the-art
onlooker has achieved its goal
[transparentBook] hello, I will look for a good book to improve my state-of-the-art
[obfuscatorSnack] hello, I will have a snack
[obfuscatorCoffee] hello, I will have a coffee break
[transparentSnack] hello, I will have a snack
[randomCoffee] hello, I will have a coffee break
[transparentCoffee] hello, I will have a coffee break
[randomSnack] hello, I will have a snack
[onlooker] Agent=randomBook T=10215 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10298]] of agent randomBook with the 3 possible explanations : [[[[goToThirdFloor,10298],haveCoffeeBreak]],[[[goToThirdFloor,10298],haveSnack]],[[[goToThirdFloor,10298],improveSOTA]]]
[obfuscatorBook] hello, I will look for a good book to improve my state-of-the-art
[onlooker] Agent=transparentBook T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10300]] of agent transparentBook with the 3 possible explanations : [[[[goToThirdFloor,10300],haveCoffeeBreak]],[[[goToThirdFloor,10300],haveSnack]],[[[goToThirdFloor,10300],improveSOTA]]]
[onlooker] Agent=randomSnack T=10315 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10318]] of agent randomSnack with the 2 possible explanations : [[[[goToGroundFloor,10318],haveCoffeeBreak]],[[[goToGroundFloor,10318],haveSnack]]]
[onlooker] Agent=randomCoffee T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10319]] of agent randomCoffee with the 3 possible explanations : [[[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToThirdFloor,10319],haveSnack]],[[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10354]] of agent obfuscatorBook with the 3 possible explanations : [[[[goToThirdFloor,10354],haveCoffeeBreak]],[[[goToThirdFloor,10354],haveSnack]],[[[goToThirdFloor,10354],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10363]] of agent obfuscatorSnack with the 3 possible explanations : [[[[goToThirdFloor,10363],haveCoffeeBreak]],[[[goToThirdFloor,10363],haveSnack]],[[[goToThirdFloor,10363],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=10315 MPG=improveSOTA Entropy=1.584962500721156(1,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10365]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[goToThirdFloor,10365],haveCoffeeBreak]],[[[goToThirdFloor,10365],haveSnack]],[[[goToThirdFloor,10365],improveSOTA]]]
[onlooker] Agent=transparentSnack T=10315 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10371]] of agent transparentSnack with the 2 possible explanations : [[[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=10315 MPG=haveSnack Entropy=1(1,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10377]] of agent transparentCoffee with the 2 possible explanations : [[[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToGroundFloor,10377],haveSnack]]]
[randomBook] I move to the third floor
[transparentBook] I move to the third floor
[randomCoffee] I move to the third floor
[randomSnack] I move to the ground floor
[onlooker] Agent=randomBook T=15237 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10298],[takeBook,15301]] of agent randomBook with the 3 possible explanations : [[[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]]]
[onlooker] Agent=transparentBook T=15237 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10300],[takeBook,15309]] of agent transparentBook with the 3 possible explanations : [[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]]]
[onlooker] Agent=randomSnack T=15237 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10318],[buySnack,15322]] of agent randomSnack with the 2 possible explanations : [[[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]]]
[onlooker] Agent=randomCoffee T=15237 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buyCoffee,15324]] of agent randomCoffee with the 3 possible explanations : [[[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]]]
[obfuscatorBook] I move to the third floor
[onlooker] Agent=obfuscatorBook T=15337 MPG=improveSOTA Entropy=1.2516291673878228(1,1,4)
[onlooker] I can explain the behavior [[goToThirdFloor,10354],[takeBook,15355]] of agent obfuscatorBook with the 3 possible explanations : [[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]]]
[obfuscatorSnack] I move to the third floor
[obfuscatorCoffee] I move to the third floor
[onlooker] Agent=obfuscatorSnack T=15337 MPG=haveSnack Entropy=1.2516291673878228(1,4,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10363],[buySnack,15363]] of agent obfuscatorSnack with the 3 possible explanations : [[[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]]]
[transparentSnack] I move to the ground floor
[onlooker] Agent=obfuscatorCoffee T=15337 MPG=haveCoffeeBreak Entropy=1.2516291673878228(4,1,1)
[onlooker] I can explain the behavior [[goToThirdFloor,10365],[buyCoffee,15366]] of agent obfuscatorCoffee with the 3 possible explanations : [[[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]]]
[transparentCoffee] I move to the ground floor
[onlooker] Agent=transparentSnack T=15337 MPG=haveSnack Entropy=0.8112781244591328(1,3,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15372]] of agent transparentSnack with the 2 possible explanations : [[[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=15337 MPG=haveCoffeeBreak Entropy=0.8112781244591328(3,1,0)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buyCoffee,15377]] of agent transparentCoffee with the 2 possible explanations : [[[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]]]
[randomBook] I take a book
[transparentBook] I take a book
[randomSnack] I buy a snack
[randomCoffee] I buy a coffe
[obfuscatorBook] I take a book
[obfuscatorSnack] I buy a snack
[obfuscatorCoffee] I buy a coffe
[transparentSnack] I buy a snack
[transparentCoffee] I buy a coffe
[onlooker] Agent=randomBook T=20258 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10298],[takeBook,15301],[goToSecondFloor,20305]] of agent randomBook with the 9 possible explanations : [[[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]],[[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]],[[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]]]
[onlooker] Agent=transparentBook T=20258 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10300],[takeBook,15309],[goToSecondFloor,20316]] of agent transparentBook with the 9 possible explanations : [[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]],[[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]],[[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]]]
[onlooker] Agent=randomSnack T=20258 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10318],[buySnack,15322],[goToSecondFloor,20323]] of agent randomSnack with the 6 possible explanations : [[[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20323],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]],[[[goToSecondFloor,20323],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]],[[[goToSecondFloor,20323],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]]]
[onlooker] Agent=randomCoffee T=20258 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buyCoffee,15324],[goToSecondFloor,20327]] of agent randomCoffee with the 9 possible explanations : [[[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]],[[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=20359 MPG=improveSOTA Entropy=1.4355205042826666(6,6,15)
[onlooker] I can explain the behavior [[goToThirdFloor,10354],[takeBook,15355],[goToSecondFloor,20360]] of agent obfuscatorBook with the 9 possible explanations : [[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]],[[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]],[[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=20359 MPG=haveSnack Entropy=1.4355205042826666(6,15,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10363],[buySnack,15363],[goToSecondFloor,20368]] of agent obfuscatorSnack with the 9 possible explanations : [[[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]],[[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]],[[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=20359 MPG=haveCoffeeBreak Entropy=1.4355205042826666(15,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10365],[buyCoffee,15366],[goToSecondFloor,20370]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]],[[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]],[[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]]]
[onlooker] Agent=transparentSnack T=20359 MPG=haveSnack Entropy=1.2997367636952522(5,11,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15372],[goToSecondFloor,20374]] of agent transparentSnack with the 6 possible explanations : [[[[goToSecondFloor,20374],haveCoffeeBreak],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20374],haveSnack],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20374],improveSOTA],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[goToSecondFloor,20374],haveCoffeeBreak],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[goToSecondFloor,20374],haveSnack],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[goToSecondFloor,20374],improveSOTA],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=20359 MPG=haveCoffeeBreak Entropy=1.2997367636952522(11,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buyCoffee,15377],[goToSecondFloor,20378]] of agent transparentCoffee with the 6 possible explanations : [[[[goToSecondFloor,20378],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20378],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20378],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[goToSecondFloor,20378],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]],[[[goToSecondFloor,20378],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]],[[[goToSecondFloor,20378],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]]]
[randomBook] I move to the second floor
[randomSnack] I move to the second floor
[transparentBook] I move to the second floor
[randomCoffee] I move to the second floor
[onlooker] Agent=randomBook T=25280 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10298],[takeBook,15301],[goToSecondFloor,20305],[readBook,25307]] of agent randomBook with the 9 possible explanations : [[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveCoffeeBreak]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],haveSnack]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveCoffeeBreak],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],haveSnack],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]],[[[readBook,25307],improveSOTA],[[goToSecondFloor,20305],improveSOTA],[[takeBook,15301],improveSOTA],[[goToThirdFloor,10298],improveSOTA]]]
[obfuscatorBook] I move to the second floor
[obfuscatorSnack] I move to the second floor
[obfuscatorCoffee] I move to the second floor
[transparentSnack] I move to the second floor
[transparentCoffee] I move to the second floor
[onlooker] Agent=randomSnack T=25280 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10318],[buySnack,15322],[goToSecondFloor,20323],[eatSnack,25325]] of agent randomSnack with the 6 possible explanations : [[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveCoffeeBreak]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],haveCoffeeBreak],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],haveSnack],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]],[[[eatSnack,25325],haveSnack],[[goToSecondFloor,20323],improveSOTA],[[buySnack,15322],haveSnack],[[goToGroundFloor,10318],haveSnack]]]
[onlooker] Agent=transparentBook T=25280 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10300],[takeBook,15309],[goToSecondFloor,20316],[readBook,25329]] of agent transparentBook with the 9 possible explanations : [[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveCoffeeBreak]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],haveSnack]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveCoffeeBreak],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],haveSnack],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]],[[[readBook,25329],improveSOTA],[[goToSecondFloor,20316],improveSOTA],[[takeBook,15309],improveSOTA],[[goToThirdFloor,10300],improveSOTA]]]
[onlooker] Agent=randomCoffee T=25280 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10319],[buyCoffee,15324],[goToSecondFloor,20327],[drinkCoffee,25329]] of agent randomCoffee with the 9 possible explanations : [[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveCoffeeBreak]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],haveSnack]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveCoffeeBreak],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],haveSnack],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]],[[[drinkCoffee,25329],haveCoffeeBreak],[[goToSecondFloor,20327],improveSOTA],[[buyCoffee,15324],haveCoffeeBreak],[[goToThirdFloor,10319],improveSOTA]]]
[onlooker] Agent=obfuscatorBook T=25280 MPG=improveSOTA Entropy=1.2516291673878228(6,6,24)
[onlooker] I can explain the behavior [[goToThirdFloor,10354],[takeBook,15355],[goToSecondFloor,20360],[readBook,25366]] of agent obfuscatorBook with the 9 possible explanations : [[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveCoffeeBreak]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],haveSnack]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveCoffeeBreak],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],haveSnack],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]],[[[readBook,25366],improveSOTA],[[goToSecondFloor,20360],improveSOTA],[[takeBook,15355],improveSOTA],[[goToThirdFloor,10354],improveSOTA]]]
[onlooker] Agent=obfuscatorSnack T=25280 MPG=haveSnack Entropy=1.2516291673878228(6,24,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10363],[buySnack,15363],[goToSecondFloor,20368],[eatSnack,25369]] of agent obfuscatorSnack with the 9 possible explanations : [[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveCoffeeBreak]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],haveSnack]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveCoffeeBreak],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],haveSnack],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]],[[[eatSnack,25369],haveSnack],[[goToSecondFloor,20368],improveSOTA],[[buySnack,15363],haveSnack],[[goToThirdFloor,10363],improveSOTA]]]
[onlooker] Agent=obfuscatorCoffee T=25280 MPG=haveCoffeeBreak Entropy=1.2516291673878228(24,6,6)
[onlooker] I can explain the behavior [[goToThirdFloor,10365],[buyCoffee,15366],[goToSecondFloor,20370],[drinkCoffee,25372]] of agent obfuscatorCoffee with the 9 possible explanations : [[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveCoffeeBreak]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],haveSnack]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveCoffeeBreak],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],haveSnack],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]],[[[drinkCoffee,25372],haveCoffeeBreak],[[goToSecondFloor,20370],improveSOTA],[[buyCoffee,15366],haveCoffeeBreak],[[goToThirdFloor,10365],improveSOTA]]]
[onlooker] Agent=transparentSnack T=25280 MPG=haveSnack Entropy=1.122607968400632(5,17,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10371],[buySnack,15372],[goToSecondFloor,20374],[eatSnack,25377]] of agent transparentSnack with the 6 possible explanations : [[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],haveCoffeeBreak],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],haveSnack],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],improveSOTA],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveCoffeeBreak]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],haveCoffeeBreak],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],haveSnack],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]],[[[eatSnack,25377],haveSnack],[[goToSecondFloor,20374],improveSOTA],[[buySnack,15372],haveSnack],[[goToGroundFloor,10371],haveSnack]]]
[onlooker] Agent=transparentCoffee T=25380 MPG=haveCoffeeBreak Entropy=1.122607968400632(17,5,2)
[onlooker] I can explain the behavior [[goToGroundFloor,10377],[buyCoffee,15377],[goToSecondFloor,20378],[drinkCoffee,25381]] of agent transparentCoffee with the 6 possible explanations : [[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveCoffeeBreak]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],haveCoffeeBreak],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],haveSnack],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]],[[[drinkCoffee,25381],haveCoffeeBreak],[[goToSecondFloor,20378],improveSOTA],[[buyCoffee,15377],haveCoffeeBreak],[[goToGroundFloor,10377],haveSnack]]]
randomBook has achieved its goal
randomSnack has achieved its goal
randomCoffee has achieved its goal
[randomBook] I read the book
[randomSnack] I eat my snack
[randomCoffee] I drink my coffe
obfuscatorBook has achieved its goal
transparentBook has achieved its goal
obfuscatorSnack has achieved its goal
obfuscatorCoffee has achieved its goal
transparentSnack has achieved its goal
transparentCoffee has achieved its goal
All the registered agents have achieved their goals. Terminating the simulation now.
[obfuscatorBook] I read the book
[transparentBook] I read the book
[obfuscatorSnack] I eat my snack
[obfuscatorCoffee] I drink my coffe
[transparentSnack] I eat my snack
[transparentCoffee] I drink my coffe

user-end:

BUILD SUCCESSFUL
Total time: 31 seconds
