net.sourceforge.cilib.games.agent
Class NeuralAgent

java.lang.Object
  net.sourceforge.cilib.games.agent.Agent
      net.sourceforge.cilib.games.agent.NeuralAgent

All Implemented Interfaces:

Serializable, Cloneable

Direct Known Subclasses:

NeuralStateEvaluator

public class NeuralAgent
extends Agent

Author:

leo An agent that uses a Neural Network to make decisions

See Also:

Serialized Form

Field Summary

protected int	hiddenNodesCount
protected GenericTopology	neuralNetworkTopology
protected NeuralOutputInterpretationStrategy	outputInterpretationStrategy
protected NeuralStateInputStrategy	stateInputStrategy

Fields inherited from class net.sourceforge.cilib.games.agent.Agent

agentScore, agentToken, playerID

Constructor Summary

NeuralAgent()

NeuralAgent(NeuralAgent other)

Method Summary

DomainRegistry	getAgentDomain() Get the domain the agent's solution is represented by
Agent	getClone() Create a cloned copy of the current object and return it.
int	getHiddenNodesCount()
GenericTopology	getNeuralNetworkTopology()
NeuralOutputInterpretationStrategy	getOutputInterpretationStrategy()
double	getScaledInput(double val, double min, double max) Scale the input value from the specified range to the active range of the input nodes for the NN
NeuralStateInputStrategy	getStateInputStrategy()
void	initializeAgent(Type agentData) Initialize the agent with the contents of an entity.
void	move(Game<GameState> game) Alter the current game by making a decision.
void	setHiddenNodes(int count)
void	setNeuralNetworkTopology(GenericTopology topology)
void	setOutputInterpretationStrategy(NeuralOutputInterpretationStrategy outputInterpretationStrategy)
void	setStateInputStrategy(NeuralStateInputStrategy stateInputStrategy)
void	setWeights(Vector weights)

Methods inherited from class net.sourceforge.cilib.games.agent.Agent

getAgentScore, getAgentToken, getPlayerID, setAgentScore, setAgentToken, setAgentToken, setPlayerID

Methods inherited from class java.lang.Object

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

Field Detail

stateInputStrategy

protected NeuralStateInputStrategy stateInputStrategy

outputInterpretationStrategy

protected NeuralOutputInterpretationStrategy outputInterpretationStrategy

hiddenNodesCount

protected int hiddenNodesCount

neuralNetworkTopology

protected GenericTopology neuralNetworkTopology

Constructor Detail

NeuralAgent

public NeuralAgent()

Parameters:

playerNo -

NeuralAgent

public NeuralAgent(NeuralAgent other)

Parameters:

other -

Method Detail

setHiddenNodes

public void setHiddenNodes(int count)

setStateInputStrategy

public void setStateInputStrategy(NeuralStateInputStrategy stateInputStrategy)

setOutputInterpretationStrategy

public void setOutputInterpretationStrategy(NeuralOutputInterpretationStrategy outputInterpretationStrategy)

setWeights

public void setWeights(Vector weights)

getScaledInput

public double getScaledInput(double val,
                             double min,
                             double max)

Scale the input value from the specified range to the active range of the input nodes for the NN

Parameters:

val - the value to scale

min - the lower bound

max - the upper bound

Returns:

getClone

public Agent getClone()

Create a cloned copy of the current object and return it. In general the created copy will be a deep copy of the provided instance. As a result this operation an be quite expensive if used incorrectly.

Specified by:

getClone in interface Cloneable

Specified by:

getClone in class Agent

Returns:

An exact clone of the current object instance.

See Also:

Object.clone()

move

public void move(Game<GameState> game)

Alter the current game by making a decision.

Specified by:

move in class Agent

Parameters:

game - the game state

initializeAgent

public void initializeAgent(Type agentData)

Initialize the agent with the contents of an entity. This data should represent what the

Specified by:

initializeAgent in class Agent

Parameters:

agentData - the data to initialize the agent with

getAgentDomain

public DomainRegistry getAgentDomain()

Get the domain the agent's solution is represented by

Specified by:

getAgentDomain in class Agent

Returns:

the relevant DomainRegistry

setNeuralNetworkTopology

public void setNeuralNetworkTopology(GenericTopology topology)

getHiddenNodesCount

public int getHiddenNodesCount()

getOutputInterpretationStrategy

public NeuralOutputInterpretationStrategy getOutputInterpretationStrategy()

getStateInputStrategy

public NeuralStateInputStrategy getStateInputStrategy()

getNeuralNetworkTopology

public GenericTopology getNeuralNetworkTopology()