# Parameters describing a LazyLav execution
# Please preserve the order

# Environment parameters
OSVERS=stretch
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=37dffefd52354174aac791c6513cae2a564428f7

# Experiment parameters
DESIGNDATE=20210312
DATE=20210312
LABEL=${DATE}-DOLA
NAME=${LABEL}
PERFORMER="Yasser Bourahla"
NBAGENTS="20"
RATIO="0.2"
NBCLSS="3"
SRATIO="0.2"
SCORING="1"
NBFEATURES="4"
NBITERATIONS=100000
TRAINER="RAND,ID3"
NBRUNS=10
ORG=godecisions
DIRPREF=results
OPS="oneCom,allCom,noCom"


OPT="-Dop=${OPS} -Dtrainer=${TRAINER} -Dorganiser=${ORG} -DnumberOfFeatures=${NBFEATURES} -Dratio=${RATIO} -DnumberOfAgents=${NBAGENTS} -DnbIterations=${NBITERATIONS} -DnbRuns=${NBRUNS} -DnumberOfClasses=${NBCLSS} -DsampleRatio=${SRATIO} -Dscoring=${SCORING}"




# Documentation parameters

VARIATIONOF=20200623-DOLA

HYPOTHESIS="hypotheses of 20200623-DOLA are still verified for different adaptation operators."

EXPE="Agent adapt ontologies to agree on decision taking"
#
SETTING="Agents learn decision trees (transformed into ontologies); get income from environment; adapt by splitting their leaf nodes; environment generated from dataset"


# Would be better automated
#CLASSES="Population, PopulatedARExperiment, PopulationAlignmentAdjustingAgent, NOOEnvironment, ActionLogger, AverageLogger, Monitor"

# DEFAULT VALUES
DESIGNER="Yasser Bourahla"
EXPERIMENTER=${PERFORMER}
ANALYST=${PERFORMER}