LGames
Class Context

java.lang.Object
  |
  +--LGames.Context

public class Context

extends java.lang.Object

This class implements the construction and maintanance of the context Each element of the context is a geometrical figure that is specified by certain features. Possible figures include rectangles, squares, triangles and circles. The context keeps also track of the categorisation of its featureVector.

Copyright (c) 2004 Paul Vogt

Field Summary

float[]	blue
int[][]	description
boolean[]	distinctive
double[][]	featureVector
boolean[]	foa
float[]	green
int[]	height
protected java.lang.String	labels
int[]	pointX
int[]	pointY
float[]	red
int[]	types
int[]	width

Constructor Summary

Context()
Empty constructor

Context(Context C, double noise)

Context(int cxtSize, boolean[] features, boolean fixedColors)
This constructor constructs a new context from scratch.

Context(int cxtSize, boolean[] features, boolean fixedColors, int[][] ts, int tslength)
This constructor constructs a context based on the training set given.

Context(int nMeanings, int cxtSize)
This constructor creates a context using predefined meanings.

Method Summary

int	categoryLength() Basically returns the context size
int	getCategory(int i)
java.lang.String	getDString(int t)
double[]	getFV(int T) Returns the feature vector of segment T
java.lang.String	getLabels() Returns the string representation of the labels that indicate the selected features
Meaning	getMeaning()
void	initDGame() Initialises a discrimination game by setting for all objects distinctive to false;
void	print(int n) Writes the feature vectors of the context to the standard output
void	print(java.util.List o) Writes the context to the standard output
void	setCategory(int[] n) This function sets the categories of the context
void	setCategory(int i, int n) This function sets the category of an object
void	setFOA(int t, int length) Sets the focus of attention
void	setMeaning(Meaning M, int T) Sets the meaning of the topic T to meaning M
int[][]	setTrainingSet(int size) This function constructs the training set, which is a subset of all objects.

Methods inherited from class java.lang.Object

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

Field Detail

description

public int[][] description

labels

protected java.lang.String labels

featureVector

public double[][] featureVector

distinctive

public boolean[] distinctive

foa

public boolean[] foa

types

public int[] types

height

public int[] height

width

public int[] width

pointX

public int[] pointX

pointY

public int[] pointY

red

public float[] red

green

public float[] green

blue

public float[] blue

Constructor Detail

Context

public Context()

Empty constructor

Context

public Context(int nMeanings,
               int cxtSize)

This constructor creates a context using predefined meanings. Used in a test function.

Context

public Context(Context C,
               double noise)

Context

public Context(int cxtSize,
               boolean[] features,
               boolean fixedColors)

This constructor constructs a new context from scratch.

Parameters:

cxtSize - The size of the context

features - This is a boolean array telling which features are selected of the RGBSXY

fixedColors - This boolean tells if the colours should be generated randomly (true) or selected from a list (false)

Context

public Context(int cxtSize,
               boolean[] features,
               boolean fixedColors,
               int[][] ts,
               int tslength)

This constructor constructs a context based on the training set given.

Parameters:

cxtSize - number of objects in the context

features - an array of features that are used

fixedColors - whether colors are selected from a fixed set (true) or not (false)

ts - the training set.

tslength - the size of the first dimension (ie. the size of the training set)

Method Detail

setTrainingSet

public int[][] setTrainingSet(int size)

This function constructs the training set, which is a subset of all objects. It is used to implement a bottleneck in the compositionality study.

Parameters:

size - the size of the subset.

Returns:

a 2-dimensional array. The first dimension relates to the object number, the second has 2 places, the first specifies the shape, the second the colour.

getLabels

public java.lang.String getLabels()

Returns the string representation of the labels that indicate the selected features

setFOA

public void setFOA(int t,
                   int length)

Sets the focus of attention

getFV

public double[] getFV(int T)

Returns the feature vector of segment T

setMeaning

public void setMeaning(Meaning M,
                       int T)

Sets the meaning of the topic T to meaning M

initDGame

public void initDGame()

Initialises a discrimination game by setting for all objects distinctive to false;

getMeaning

public Meaning getMeaning()

Returns:

the meaning of the topic

getDString

public java.lang.String getDString(int t)

Returns:

a string describing the object. Helps to analyse what objects are used

print

public void print(java.util.List o)

Writes the context to the standard output

print

public void print(int n)

Writes the feature vectors of the context to the standard output

getCategory

public int getCategory(int i)

Parameters:

i - the index of an object in the context

Returns:

the index of the category of object i

setCategory

public void setCategory(int i,
                        int n)

This function sets the category of an object

Parameters:

i - the index of the object

n - the category (Meaning/ANMeaning) of the object

setCategory

public void setCategory(int[] n)

This function sets the categories of the context

Parameters:

n - an array with the categories (Meaning/ANMeaning) of the objects

categoryLength

public int categoryLength()

Basically returns the context size