jaga.pj.circuits.experiment
Class ArbitraryFunctionExperiment

java.lang.Object
  |
  +--jaga.pj.circuits.experiment.ArbitraryFunctionExperiment

All Implemented Interfaces:

ConfigurableExperiment, ConfigurableRandomInputExperiment, Experiment, java.io.Serializable

public class ArbitraryFunctionExperiment

extends java.lang.Object

implements ConfigurableRandomInputExperiment

Experiment which evaluates behaviour as a given Boolean Function. GetDesiredOutputs not working currently!

See Also:

Serialized Form

Constructor Summary

ArbitraryFunctionExperiment(BooleanFunction function, double tSetup)

ArbitraryFunctionExperiment(BooleanFunction function, double tSetup, FitnessFunction fitnessFunction)

Method Summary

SampleData[]	generateInput() Generate input using default parameters
SampleData[]	generateInput(int inputSampleSeparation) generates an array of inputs suitable for this experiment.
SampleData[]	generateInput(int inputSampleSeparation, int inputDataLength) Generate input suitable for testing this experiment using custom parameters
java.lang.Object	get(java.lang.Object param)
double	getFitness(SampleData[] in, SampleData[] out) returns a fitness associated to a given input/output pair for this experiment.
int	getNumOfInputs()
int	getNumOfOutputs()
void	set(java.lang.Object param) Sets the random number generator seed.
java.lang.String	toString()

Methods inherited from class java.lang.Object

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

Constructor Detail

ArbitraryFunctionExperiment

public ArbitraryFunctionExperiment(BooleanFunction function,
                                   double tSetup,
                                   FitnessFunction fitnessFunction)

Parameters:

function - The Boolean Function to evaluate behaviour as.

tSetup - Proportion of output data per input cycle to ignore.

fitnessFunction - Algorithm to determine fitness from inputs, outputs and desired ouptputs.

ArbitraryFunctionExperiment

public ArbitraryFunctionExperiment(BooleanFunction function,
                                   double tSetup)

Method Detail

getNumOfInputs

public int getNumOfInputs()

Specified by:

getNumOfInputs in interface Experiment

getNumOfOutputs

public int getNumOfOutputs()

Specified by:

getNumOfOutputs in interface Experiment

generateInput

public SampleData[] generateInput()

Generate input using default parameters

Specified by:

generateInput in interface Experiment

generateInput

public SampleData[] generateInput(int inputSampleSeparation)

generates an array of inputs suitable for this experiment.

Specified by:

generateInput in interface Experiment

Parameters:

inputSampleSeparation - relative frequency of input to output samples. If this is n, then n outputs will be sampled for every change in inputs.

generateInput

public SampleData[] generateInput(int inputSampleSeparation,
                                  int inputDataLength)

Generate input suitable for testing this experiment using custom parameters

Parameters:

inputDataLength - how long the input data should be

inputSampleSeparation - how often the input samples should change in time. Greater value -> less often

getFitness

public double getFitness(SampleData[] in,
                         SampleData[] out)

Description copied from interface: Experiment

returns a fitness associated to a given input/output pair for this experiment. The fitness is a double and is in adjusted fitness format. From 0 to 1, 1 being perfectly fit.

Specified by:

getFitness in interface Experiment

Following copied from interface: jaga.experiment.Experiment

Parameters:

in - array of inputs

out - array of outputs

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object

set

public void set(java.lang.Object param)

Sets the random number generator seed.

Specified by:

set in interface ConfigurableExperiment

get

public java.lang.Object get(java.lang.Object param)

Specified by:

get in interface ConfigurableExperiment