IRPact_modellierung.perception

Class Histogram

java.lang.Object

IRPact_modellierung.perception.Histogram

Direct Known Subclasses:

ProductAttributePerceptionHistogram

public abstract class Histogram
extends java.lang.Object

Building on Kiesling, the model incorporates the possibility to use a histogram for the structuring the perception of actors in bins. Since the bins are equidistant (equal width), the histogram is bounded by its nature between a /minValue/ and a /maxValue/. In this form it also has a parameter \lambda associated with it (which is generally used to model the exponential decay of the value of information. However, this Historam class is of a more general nature and can be used in other contexts as well

Field Summary

Fields

Modifier and Type	Field and Description
protected double	lambda
protected double	maxValue
protected double	minValue
protected int	noBins

Constructor Summary

Constructors

Constructor and Description
Histogram(double lambda, int noBins, double minValue, double maxValue) Constructs an equidistant histogram of noBins bins for values in [minValue, maxValue] based on the histogramInitializationScheme

Method Summary

Modifier and Type	Method and Description
double	getLambda()
int	getNoBins()

Methods inherited from class java.lang.Object

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

Field Detail

lambda

protected double lambda

noBins

protected int noBins

minValue

protected double minValue

maxValue

protected double maxValue

Constructor Detail

Histogram

public Histogram(double lambda,
                 int noBins,
                 double minValue,
                 double maxValue)
          throws java.lang.IllegalArgumentException

Constructs an equidistant histogram of noBins bins for values in [minValue, maxValue] based on the histogramInitializationScheme

Parameters:

lambda - parameter associated with the Histogram; generally used (but not limited to) model temporal decay of importance of information

noBins - the number of histogram bins in the Histogram

minValue - the lower bound of the histogram

maxValue - the upper bound of the histogram

Throws:

java.lang.IllegalArgumentException - Will be thrown when the minValue is larger or equal than the maxValue

Method Detail

getNoBins

public int getNoBins()

getLambda

public double getLambda()