# ENVIRONMENT

OSVERS=busternb

LOGBACK_VERSION=1.2.3

JPATH=lib/lazylav/ll.jar:lib/slf4j/logback-classic-${LOGBACK_VERSION}.jar:lib/slf4j/logback-core-${LOGBACK_VERSION}.jar:.

LLHASH=ceb1c5d1ca8109373d293b687fc55953fce5241d

# EXPERIMENT

DESIGNDATE=20220108
DATE=20220108
LABEL=${DATE}-MTOA
NAME=${LABEL}
PERFORMER="Andreas Kalaitzakis"
NBAGENTS=20
RATIO=0.1
NBCLSS=4
SRATIO=0.6
NBFEATURES=4
NBTASKS="1,2,4,8"
NBITERATIONS=80000
NBRUNS=20
RECORDMODE="accuracySuccessRate"
WINCONDITION="task"
ORG=godecisions


OPT="-Dorganiser=${ORG} -DnumberOfFeatures=${NBFEATURES} -Dratio=${RATIO} -DnumberOfAgents=${NBAGENTS} -DnumberOfIterations=${NBITERATIONS} -DnbRuns=${NBRUNS} -DnumberOfClasses=${NBCLSS} -DsampleRatio=${SRATIO} -DnumberOfTasks=${NBTASKS} -DrecordMode=${RECORDMODE} -DwinCondition=${WINCONDITION}"


DIRPREF=results

# DOCUMENTATION PARAMETERS

EXPE="Agents improve average accuracy by tackling several tasks."
#
HYPOTHESIS="The higher is the number of carried out tasks, the higher the average accuracy is."
#
SETTING="Agents are trained with respect to different tasks and then coordinate upon acting on them. Each time they disagree, one agent adapts its knowledge with respect to the current task."

# DEFAULT VALUES
DESIGNER="Andreas Kalaitzakis"
EXPERIMENTER=${PERFORMER}
ANALYST=${PERFORMER}