org.liris.smartgov.lez.politic.manager

Class AbstractManager

java.lang.Object

org.liris.smartgov.lez.politic.manager.AbstractManager

Direct Known Subclasses:

ManagerQLearningScenario

public abstract class AbstractManager
extends java.lang.Object

Abstract management of simulation. Manages local and global indicators, clock, agent population in simulation and policy agents. Saves policies using indicators.

Author:

Simon

Field Summary

Fields

Modifier and Type	Field and Description
static java.text.SimpleDateFormat	formatter
static boolean	learningPhase During this phase, apply an action to clustered classes and adapt if needed the current representation.
static int	NUMBER_OF_ITERATIONS_BEFORE_APPLYING_POLICIES
static int	NUMBER_OF_ITERATIONS_BEFORE_RESTART
static int	NUMBER_OF_ITERATIONS_BEFORE_SAVE
static int	NUMBER_OF_SIMULATIONS_BEFORE_RESTART
static boolean	observationPhase During this phase, apply an iterative price policy and create initial classes using clustering methods.
static java.lang.String	TIME_FORMAT
static java.lang.String	timeStamp
static int	TOTAL_NUMBER_OF_SIMULATIONS
static boolean	validationPhase During this phase, apply an action based on the perception closest cluster.

Constructor Summary

Constructors

Constructor and Description
AbstractManager()

Method Summary

Modifier and Type	Method and Description
int	getCurrentIteration()
boolean	getCurrentlyExperimenting()
int	getCurrentTrialIndex()
int	getIndexOfAction()
int	getLocalEvaluationIndex()
int	getRestartCounter()
boolean	isJustReset()
boolean	isRecentlyReset()
abstract void	live()
void	setCurrentIteration(int currentIteration)
void	setCurrentlyExperimenting(boolean currentlyExperimenting)
void	setCurrentTrialIndex(int currentTrialIndex)
void	setJustReset(boolean justReset)
void	setRecentlyReset(boolean recentlyReset)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

NUMBER_OF_ITERATIONS_BEFORE_APPLYING_POLICIES

public static int NUMBER_OF_ITERATIONS_BEFORE_APPLYING_POLICIES

NUMBER_OF_ITERATIONS_BEFORE_RESTART

public static int NUMBER_OF_ITERATIONS_BEFORE_RESTART

NUMBER_OF_ITERATIONS_BEFORE_SAVE

public static int NUMBER_OF_ITERATIONS_BEFORE_SAVE

TOTAL_NUMBER_OF_SIMULATIONS

public static int TOTAL_NUMBER_OF_SIMULATIONS

NUMBER_OF_SIMULATIONS_BEFORE_RESTART

public static int NUMBER_OF_SIMULATIONS_BEFORE_RESTART

TIME_FORMAT

public static java.lang.String TIME_FORMAT

formatter

public static final java.text.SimpleDateFormat formatter

timeStamp

public static java.lang.String timeStamp

observationPhase

public static boolean observationPhase

During this phase, apply an iterative price policy and create initial classes using clustering methods.

learningPhase

public static boolean learningPhase

During this phase, apply an action to clustered classes and adapt if needed the current representation.

validationPhase

public static boolean validationPhase

During this phase, apply an action based on the perception closest cluster.

Constructor Detail

AbstractManager

public AbstractManager()

Method Detail

live

public abstract void live()

getLocalEvaluationIndex

public int getLocalEvaluationIndex()

getCurrentTrialIndex

public int getCurrentTrialIndex()

getIndexOfAction

public int getIndexOfAction()

setCurrentTrialIndex

public void setCurrentTrialIndex(int currentTrialIndex)

isJustReset

public boolean isJustReset()

setJustReset

public void setJustReset(boolean justReset)

isRecentlyReset

public boolean isRecentlyReset()

setRecentlyReset

public void setRecentlyReset(boolean recentlyReset)

getCurrentIteration

public int getCurrentIteration()

getRestartCounter

public int getRestartCounter()

setCurrentIteration

public void setCurrentIteration(int currentIteration)

getCurrentlyExperimenting

public boolean getCurrentlyExperimenting()

setCurrentlyExperimenting

public void setCurrentlyExperimenting(boolean currentlyExperimenting)