de.htwdd.rosenkoenig.neuro
Class NeuroPlayer

java.lang.Object
  de.htwdd.rosenkoenig.game.Player
      de.htwdd.rosenkoenig.neuro.NeuroPlayer

public class NeuroPlayer
extends Player

NeuroPlayer represents an artificial Rosenkoenig player that takes its decision based on the output of a neural network. To simulate GUI actions, the turn of a NeuroPlayer is executed in an independent thread.

Nested Class Summary

private class

NeuroPlayer.NeuroRunner Used to (asynchrounusly) simulate GUI action.

Field Summary

private org.apache.log4j.Logger	log
private NeuralNet	net The player's brain :-)
private java.lang.Thread	playerThread Thread to simulate GUI actions.
private static int	TIME_TO_SLEEP

Fields inherited from class de.htwdd.rosenkoenig.game.Player

canMove, cards, game, hasMoved, highscore, knights, name, score

Constructor Summary

NeuroPlayer()
Creates a new NeuroPlayer with an uninitialized feed forward net.

NeuroPlayer(java.lang.String playername)
Creates a new NeuroPlayer with an uninitialized feed forward net and the provided name.

Method Summary

org.jdom.Element	createXml() Creates an XML element containing this player's properties as well as its neural net.
private void	executeTurn() Calculates and executes the next move based on the output of the player's neural net.
protected void	extractPlayer(org.jdom.Element xmlPlayer) Extracts an artificial player from an XML element.
NeuralNet	getNet() Getter of the property net
boolean	isInteractive() If you derive from player and implement some kind of AI-player, return false here.
void	setNet(NeuralNet net) Setter of the property net
void	turn() Wakes up the player thread which executes the player's turn.

Methods inherited from class de.htwdd.rosenkoenig.game.Player

equals, getCanMove, getCards, getGame, getHasMoved, getHighscore, getKnights, getName, getNumberOfCards, getScore, loadFromFile, saveToDir, setCanMove, setCards, setGame, setHasMoved, setHighscore, setKnights, setName, setScore, updateHighscore

Methods inherited from class java.lang.Object

clone, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

TIME_TO_SLEEP

private static final int TIME_TO_SLEEP

See Also:

Constant Field Values

log

private org.apache.log4j.Logger log

net

private NeuralNet net

The player's brain :-)

playerThread

private java.lang.Thread playerThread

Thread to simulate GUI actions.

Constructor Detail

NeuroPlayer

public NeuroPlayer()

Creates a new NeuroPlayer with an uninitialized feed forward net.

NeuroPlayer

public NeuroPlayer(java.lang.String playername)

Creates a new NeuroPlayer with an uninitialized feed forward net and the provided name.

Parameters:

playername - the player's name

Method Detail

executeTurn

private void executeTurn()
                  throws java.lang.InterruptedException

Calculates and executes the next move based on the output of the player's neural net.

Throws:

java.lang.InterruptedException

isInteractive

public boolean isInteractive()

If you derive from player and implement some kind of AI-player, return false here.

Specified by:

isInteractive in class Player

Returns:

false if some kind of AI-player, true otherwise.

extractPlayer

protected void extractPlayer(org.jdom.Element xmlPlayer)

Extracts an artificial player from an XML element.

Specified by:

extractPlayer in class Player

Parameters:

xmlPlayer - The xml portion of the player. Implement this function, if you choose to save your player with several properties to be loaded from an XML-file

createXml

public org.jdom.Element createXml()

Creates an XML element containing this player's properties as well as its neural net.

Specified by:

createXml in class Player

Returns:

an xml element that you want this class to save for you. Implement this function, if you choose to save your player with several properties to be saved in an XML-file.

turn

public void turn()

Wakes up the player thread which executes the player's turn.

Specified by:

turn in class Player

getNet

public NeuralNet getNet()

Getter of the property net

Returns:

Returns the net.

setNet

public void setNet(NeuralNet net)

Setter of the property net

Parameters:

net - The net to set.