org.generation5.demos
Class SpatialIPD

java.lang.Object
  org.generation5.bio.CellularAutomata
      org.generation5.demos.SpatialIPD

All Implemented Interfaces:

Steppable, Visualizable

public class SpatialIPD

extends CellularAutomata

Implements a spatial version of the iterated prisoner's dilemma. Five different strategies are placed randomly within the world and are pitted against each other. The five strategies and their corresponding colours are:

• all cooperate - red.
• all defect - yellow.
• random - green.
• tit-for-tat - blue.
• pavlov - orange.

Field Summary

protected PrisonersDilemmaAgent[][]	ipdAgents The agents used in the world.
protected double	noiseRate The noise rate.
protected int	trialRuns The number of trail per agent, per neighbour, per iteration.

Fields inherited from class org.generation5.bio.CellularAutomata

bufferPosition, bufferSize, caSize, caWorld, caWorld_x, caWorld_y, clrBackground, clrGrid, clrWorld, DOUBLE_BUFFERING, doubleBuffering, drawGrid, ENCLOSED, geometryType, INFINITE, TORODIAL, X_AXIS, Y_AXIS

Constructor Summary

SpatialIPD()
Creates a new instance of SpatialIPD

SpatialIPD(int size_x, int size_y)
Creates a new instance with world size information.

Method Summary

void	doStep() Advance the Spatial IPD one timestep.
double	getNoiseRate() Retrieve the noise rate.
void	init() Initialize the world to a random collection of strategies.
static void	main(java.lang.String[] args)
void	setNoiseRate(double nr) Set the noise rate to be used within the world.
void	setWorldSize(int size_x, int size_y) Set the world size.

Methods inherited from class org.generation5.bio.CellularAutomata

clearWorld, drawGrid, flipBuffer, getBackgroundColor, getCASize, getGeometry, getSizeX, getSizeY, getWorldAt, iterateCA, iterateCA, render, reset, setBackgroundColor, setCASize, setGeometry, setWorldAt, setWorldAtEx, setWorldAtRelative, setWorldColors, setWorldColour, translateGeometry, writeImage

Methods inherited from class java.lang.Object

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

Field Detail

trialRuns

protected int trialRuns

The number of trail per agent, per neighbour, per iteration.

noiseRate

protected double noiseRate

The noise rate.

ipdAgents

protected PrisonersDilemmaAgent[][] ipdAgents

The agents used in the world.

Constructor Detail

SpatialIPD

public SpatialIPD()

Creates a new instance of SpatialIPD

SpatialIPD

public SpatialIPD(int size_x,
                  int size_y)

Creates a new instance with world size information.

Parameters:

size_x - the x-size of the world.

size_y - the y-size of the world.

Method Detail

setNoiseRate

public void setNoiseRate(double nr)

Set the noise rate to be used within the world. The noise rate causes strategies to mutate every now and again.

Parameters:

nr - the noise rate.

getNoiseRate

public double getNoiseRate()

Retrieve the noise rate.

Returns:

the noise rate.

setWorldSize

public void setWorldSize(int size_x,
                         int size_y)

Set the world size.

Overrides:

setWorldSize in class CellularAutomata

Parameters:

size_x - the x-size of the world.

size_y - the y-size of the world.

main

public static void main(java.lang.String[] args)

Parameters:

args - the command line arguments passed to iterateCA.

doStep

public void doStep()

Advance the Spatial IPD one timestep.

Specified by:

doStep in interface Steppable

Specified by:

doStep in class CellularAutomata

init

public void init()

Initialize the world to a random collection of strategies.

Specified by:

init in interface Steppable

Specified by:

init in class CellularAutomata