A B C D E F G H I L M N O P R S T U W X

A

actionPerformed(ActionEvent) - Method in class LearnInd

The main part of the application.

addNumerosity(int) - Method in class xcseco.XClassifier

Adds to the numerosity of the classifier.

advance(int) - Method in class corejava.Day

Advances this day by n days.

alpha - Static variable in class xcseco.XCSConstants

The fall of rate in the fitness evaluation.

append(Object) - Method in class corejava.LinkedList

insert after the tail of the list

AppletFrame - class AppletFrame.

appletResize(int, int) - Method in class AppletFrame

apply_elitism() - Method in class genetic.Genetic

Uses elitism or not conditioned by the do_elitism option chosen in the algorithm (cf. the constructor Genetic).

applyMutation(String, int) - Method in class xcseco.XClassifier

Applies a niche mutation to the classifier.

atof(String) - Static method in class corejava.Format

Converts a string of digits to an double

atoi(String) - Static method in class corejava.Format

Converts a string of digits (decimal, octal or hex) to an integer

atol(String) - Static method in class corejava.Format

Converts a string of digits (decimal, octal or hex) to a long integer

autoFlush - Variable in class LearnInd

B

bestActionWinner() - Method in class xcseco.PredictionArray

Selects the action in the prediction array with the best value.

beta - Static variable in class xcseco.XCSConstants

The learning rate for updating fitness, prediction, prediction error, and action set size estimate in XCS's classifiers.

C

Cadre - class Cadre.

Titre : User Interface for LearnInd
Copyright : Murat Yildizoglu Copyright (c) 2001
Soci�t� :IFREDE-E3i - Univ Bordeaux IV Montesquieu
e-mail : yildi[a_t]u-bordeaux4.fr

Cadre() - Constructor for class Cadre

chooseAction(String) - Method in class xcseco.XCSeco

Choses the best action given the state of the XCS and the environment.

clean() - Method in class Firm

clean() - Method in class GenFirm

Frees the Genetic algorithm for garbage collection

clean() - Method in class NWFirm

clean() - Method in class XCSFirm

Frees the Classifier system for garbage collection

clean() - Method in class NNGenFirm

Frees the Genetic algorithm and the ANN for garbage collection

clone() - Method in class corejava.Day

Makes a bitwise copy of a Day object

close_file(PrintWriter) - Method in class LearnInd

An utility to close opened files.

CloseableFrame - class corejava.CloseableFrame.

CloseableFrame() - Constructor for class corejava.CloseableFrame

closeAllFiles() - Method in class LearnInd

closeSimFiles() - Method in class LearnInd

compute - Variable in class Cadre

computeEnv() - Method in class LearnInd

Computes the Environment string to pass to XCSFirms' R&D rates.

computeprivateEnvironment() - Method in class XCSFirm

Computes the private Environment string.

computeprofit(double) - Method in class Firm

Computes the gross profit rate on capital and the cumulates the gross profits of the firm

confirmClassifiersInSet() - Method in class xcseco.XClassifierSet

Updates the numerositySum of the set and deletes all classifiers with numerosity 0.

Console - class corejava.Console.

Console() - Constructor for class corejava.Console

corejava - package corejava

create_file(String) - Method in class LearnInd

A utility to create new files for recording.

crossover() - Method in class genetic.Genetic

CS - Variable in class XCSFirm

currentElement() - Method in class corejava.LinkedList

D

DataGen(int) - Method in class LearnInd

Computes the shares of each type of firm in Total Capital and in Total
cumulated profits and other relative or average performance measures.

Day - class corejava.Day.

Day() - Constructor for class corejava.Day

Constructs today's date

Day(int, int, int) - Constructor for class corejava.Day

Constructs a specific date

daysBetween(Day) - Method in class corejava.Day

The number of days between this and day parameter

Decode(int) - Method in class genetic.Genetic

delta - Static variable in class xcseco.XCSConstants

The fraction of the mean fitness of the population below which the fitness of a classifier may be considered in its vote for deletion.

demand(double) - Method in class LearnInd

Computes the market price for the short term equilibrium.

doActionSetSubsumption - Static variable in class xcseco.XCSConstants

Specifies if action set subsumption should be executed.

doGASubsumption - Static variable in class xcseco.XCSConstants

Specifies if GA subsumption should be executed.

dontCare - Static variable in class xcseco.XCSConstants

The don't care symbol (normally '#')

drand() - Static method in class xcseco.XCSConstants

Returns a random number in between zero and one.

draw() - Method in class corejava.RandomIntGenerator

Used to return a random integer in the range constructed

E

elementAt(int) - Method in class xcseco.XClassifierSet

Returns the classifier at the specified position.

elements() - Method in class corejava.LinkedList

epsilon_0 - Static variable in class xcseco.XCSConstants

The error threshold under which the accuracy of a classifier is set to one.

equals(XClassifier) - Method in class xcseco.XClassifier

Returns if the two classifiers are identical in condition and action.

F

Firm - class Firm.

Abstract Class Firm.java
Murat Yildizoglu - Universite Bordeaux IV Montesquieu
Bordeaux FRANCE
e-mail: yildi[a_t]u-bordeaux4.fr
Copyright 2001 (c) Murat Yildizoglu
Permission to use, copy, modify, and distribute this
software and its documentation for NON-COMMERCIAL purposes
and without fee is hereby granted provided that this
copyright notice appears in all copies.

Firm(double, double, double, double, double, double, double, double, double) - Constructor for class Firm

The constructor.

fitnessIni - Static variable in class xcseco.XCSConstants

The initial prediction value when generating a new classifier (e.g in covering).

fitnessReduction - Static variable in class xcseco.XCSConstants

The reduction of the fitness when generating an offspring classifier.

form(char) - Method in class corejava.Format

Formats a character into a string (like sprintf in C)

form(double) - Method in class corejava.Format

Formats a double into a string (like sprintf in C)

form(long) - Method in class corejava.Format

Formats a long integer into a string (like sprintf in C)

form(String) - Method in class corejava.Format

Formats a string into a larger string (like sprintf in C)

Format - class corejava.Format.

Format(String) - Constructor for class corejava.Format

Formats the number following printf conventions.

forwardPass() - Method in class NNeco

Calculates outputs with actual weights and input vector.

G

gamma - Static variable in class xcseco.XCSConstants

The discount rate in multi-step problems.

genetic - package genetic

Genetic - class genetic.Genetic.

Genetic Algorithm adapted by Murat Yildizoglu ([email protected]).

Genetic(int, int, int, boolean, double, double) - Constructor for class genetic.Genetic

GenFirm - class GenFirm.

GenFirm.java
* Murat Yildizoglu - Universite Montesquieu Bordeaux IV FRANCE
Copyright (c) Murat Yildizoglu, 2000-2001
Permission to use, copy, modify, and distribute this
software and its documentation for NON-COMMERCIAL purposes
and without fee is hereby granted provided that this
copyright notice appears in all copies.

GenFirm(double, double, double, double, double, double, double, int, int, double, double, int, boolean, double, double, int) - Constructor for class GenFirm

Initializes and computes the firm's caracteristics given the caracteristics of the industry to which it belongs.

getAccuracy() - Method in class xcseco.XClassifier

Returns the accuracy of the classifier.

getAction() - Method in class xcseco.XClassifier

Returns the action of the classifier.

getAction() - Method in class xcseco.XCSeco

Returns the last used action.

getApplet(String) - Method in class AppletFrame

getAppletContext() - Method in class AppletFrame

getApplets() - Method in class AppletFrame

getAudioClip(URL) - Method in class AppletFrame

getBestValue() - Method in class xcseco.PredictionArray

Returns the highest value in the prediction array.

getChrDecode(int) - Method in class Firm

getChrDecode(int) - Method in class GenFirm

Decodes the actual chromosome in order to obtain the corresponding RD ratio.

getChrDecode(int) - Method in class NWFirm

For Compatibility with GenFirm

getChrDecode(int) - Method in class XCSFirm

For Compatibility with GenFirm

getChrDecode(int) - Method in class NNGenFirm

Decodes the actual chromosome in order to obtain the corresponding RD ratio.

getChrFitness(int) - Method in class Firm

getChrFitness(int) - Method in class GenFirm

Provies the fitness of a particular chromosome

getChrFitness(int) - Method in class NWFirm

getChrFitness(int) - Method in class XCSFirm

getChrFitness(int) - Method in class NNGenFirm

Provies the fitness of a particular chromosome

getCodeBase() - Method in class AppletFrame

getDay() - Method in class corejava.Day

getDelProp(double) - Method in class xcseco.XClassifier

Returns the vote for deletion of the classifier.

getDFittness() - Method in class Firm

Abstract methods for compatibility with GenFirm.

getDFittness() - Method in class GenFirm

Returns the average fittness difference between last two populations of rules (chromosomes).

getDFittness() - Method in class NWFirm

Returns the variation of the fittness

getDFittness() - Method in class XCSFirm

Returns the variation of the fittness

getDFittness() - Method in class NNGenFirm

Returns the variation of the profit rate

getDocumentBase() - Method in class AppletFrame

getdprim() - Method in class Firm

Returns the Productivity increase throuh imitation of the firm

getdprin() - Method in class Firm

Returns the Productivity increase throuh innovation of the firm

getFitness() - Method in class xcseco.XClassifier

Returns the fitness of the classifier.

getFitness(int) - Method in class genetic.Genetic

getImage(URL) - Method in class AppletFrame

getinvestRD() - Method in class Firm

Provides the amount of the R&D investment of the firm

getKapital() - Method in class Firm

Returns the capital stock

getMonth() - Method in class corejava.Day

getNumerosity() - Method in class xcseco.XClassifier

Returns the numerosity of the classifier.

getNumerositySum() - Method in class xcseco.XClassifierSet

Returns the number of micro-classifiers in the set.

getOutputs() - Method in class NNeco

This method returns the actual values of the outputs resulting from the last forward pass.

getParameter(String) - Method in class AppletFrame

getPrediction() - Method in class xcseco.XClassifier

Returns the prediction of the classifier.

getPredictionError() - Method in class xcseco.XClassifier

Returns the prediction error of the classifier.

getprod() - Method in class Firm

Returns the productivity rate of the firm

getProfit() - Method in class Firm

getProfit() - Method in class GenFirm

Total profit of the firm profit_rate*K

getProfit() - Method in class NWFirm

Returns the gross profit of the firm: Profit = profit_rate x Kapital

getProfit() - Method in class XCSFirm

Returns the total gross profit of the firm: Profit = profit x K

getProfit() - Method in class NNGenFirm

Total profit of the firm profit_rate*K

getProfitRate() - Method in class Firm

Returns the gross profit rate of the firm

getrd() - Method in class Firm

Returns the R&D ratio of the firm

getSize() - Method in class xcseco.XClassifierSet

Returns the number of macro-classifiers in the set.

getTimeStamp() - Method in class xcseco.XClassifier

Returns the time stamp of the classifier.

getTotalOutputError() - Method in class NNeco

Returns the total error in the last training sesssion

getValue() - Method in class corejava.IntTextField

Get the integer data value

getValue(int) - Method in class xcseco.PredictionArray

Returns the value of the specified entry in the prediction array.

getYear() - Method in class corejava.Day

H

hasMoreElements() - Method in class corejava.LinkedList

Hidden - Variable in class NNeco

hidden_errors - Variable in class NNeco

I

imitate(double) - Method in class Firm

Modifies the productivity of the firm as a consequence of an imitation

increaseExperience() - Method in class xcseco.XClassifier

Increases the Experience of the classifier by one.

IndProd() - Method in class LearnInd

Computes the average and maximal productivities in the industry.

IndSupply() - Method in class LearnInd

Computes the total supply of the industry and the shares of each type of firms in this supply

infer(double[]) - Method in class NNeco

This is the method for obtaining predictions from the network.

init() - Method in class LearnInd

Initializes the interface.

InitDataGen() - Method in class LearnInd

Initializes the variables that will be used to record
the performance of the industry and the firms.

initEnv() - Method in class LearnInd

Initializes the ENV table for computing
the global environment that will be used by the XCSFirms

innovate() - Method in class Firm

Modifies the productivity of the firm as a consequence of an innovation

Inputs - Variable in class NNeco

insert(Object) - Method in class corejava.LinkedList

insert before the iterator position

IntTextField - class corejava.IntTextField.

IntTextField(int, int) - Constructor for class corejava.IntTextField

Creates the text field

investK() - Method in class Firm

Computes the capital-investment following a very simple rule: The share of the profit that has not been invested in R&D is invested in physical capitaL

investRD() - Method in class Firm

Computes the R&D-investment under the financial constraint given by the profit

isactive() - Method in class Firm

Verifies if the firm is active.

isActive() - Method in class AppletFrame

isChampion(int) - Method in class LearnInd

Determines the champion of the industry (imax)

isMoreGeneral(XClassifier) - Method in class xcseco.XClassifier

Returns if the classifier is more general than cl.

isSubsumer() - Method in class xcseco.XClassifier

Returns if the classifier is a possible subsumer.

L

learn(double) - Method in class xcseco.XCSeco

Provides the CS with a reward received from the environment and asks it to learn in consequence.

learn(int) - Method in class Firm

Abstract methods for compatibility with XCSFirm.

learn(int) - Method in class GenFirm

learn(int) - Method in class NWFirm

learn(int) - Method in class XCSFirm

Firm communicates to its XCSeco the profit and asks it to learn as a function of the specified objective.

learn(int) - Method in class NNGenFirm

Train the Neural Network with new inputs and observed outputs.

LearnInd - class LearnInd.

LearnInd.java
A java Applet-Application for simulating industries composed of NWFirms, GenFirms,XCSFirms and NNGenFirms.

LearnInd() - Method in class LearnInd

LearnInd() - Constructor for class LearnInd

LearnIndAA - class LearnIndAA.

LearnIndAA() - Constructor for class LearnIndAA

learnindCadre - Variable in class LearnInd

The user interface

LearnRate - Variable in class LearnInd

Learning rate of GenFirms

LinkedList - class corejava.LinkedList.

LinkedList() - Constructor for class corejava.LinkedList

M

main(String[]) - Static method in class LearnIndAA

main(String[]) - Static method in class corejava.RandomIntGenerator

test stub for the class

main(String[]) - Static method in class corejava.Format

a test stub for the format class

main(String[]) - Static method in class corejava.LinkedList

match(String) - Method in class xcseco.XClassifier

Returns if the classifier matches in the current situation.

maxPopSize - Static variable in class xcseco.XCSConstants

Specifies the maximal number of micro-classifiers in the population.

mutate() - Method in class genetic.Genetic

N

newGeneration() - Method in class genetic.Genetic

newGeneration(): Generates new generation through selection, crossover and mutation.

nextElement() - Method in class corejava.LinkedList

move the cursor to the next position

NNeco - class NNeco.

NNeco.java
Title : Learning Industry with ANN based GenFirms
Description : A simple back propagation feed forward neural network adapted for being driven by another user class.

NNeco() - Constructor for class NNeco

The default constructor.

NNeco(int, int, int) - Constructor for class NNeco

The constructor that should be used for creating a new network

NNGenFirm - class NNGenFirm.

NNGenFirm.java
Copyright (c) Murat Yildizoglu, 2000-2001
Permission to use, copy, modify, and distribute this
software and its documentation for NON-COMMERCIAL purposes
and without fee is hereby granted provided that this
copyright notice appears in all copies.

NNGenFirm(double, double, double, double, double, double, double, int, int, double, double, int, boolean, double, double, int, int, int, int, int) - Constructor for class NNGenFirm

Initializes and computes the firm's caracteristics given the caracteristics of the industry to which it belongs.

nu - Static variable in class xcseco.XCSConstants

Specifies the exponent in the power function for the fitness evaluation.

NumHidden - Variable in class NNeco

NumInputs - Variable in class NNeco

NumOutputs - Variable in class NNeco

NumTraining - Variable in class NNeco

NWFirm - class NWFirm.

NWFirm.java
Murat Yildizoglu - Universite Bordeaux IV Montesquieu
Bordeaux FRANCE
e-mail: yildi[a_t]u-bordeaux4.fr
Copyright (c) Murat Yildizoglu, 1998-2001
Permission to use, copy, modify, and distribute this
software and its documentation for NON-COMMERCIAL purposes
and without fee is hereby granted provided that this
copyright notice appears in all copies.

NWFirm(double, double, double, double, double, double, double, double, double) - Constructor for class NWFirm

Initializes and computes the firm's caracteristics given the caracteristics of the industry to which it belongs.

O

output_errors - Variable in class NNeco

Outputs - Variable in class NNeco

P

P_dontcare - Static variable in class xcseco.XCSConstants

The probability of using a don't care symbol in an allele when covering.

pM - Static variable in class xcseco.XCSConstants

The probability of mutating one allele and the action in an offspring classifier.

PredictionArray - class xcseco.PredictionArray.

This class generates a prediction array of the provided set.

PredictionArray(XClassifierSet, int) - Constructor for class xcseco.PredictionArray

Constructs the prediction array according to the current set and the possible number of actions.

predictionErrorIni - Static variable in class xcseco.XCSConstants

The initial prediction error value when generating a new classifier (e.g in covering).

predictionErrorReduction - Static variable in class xcseco.XCSConstants

The reduction of the prediction error when generating an offspring classifier.

predictionIni - Static variable in class xcseco.XCSConstants

The initial prediction value when generating a new classifier (e.g in covering).

print(PrintStream, String, char) - Static method in class corejava.Format

prints a formatted number following printf conventions

print(PrintStream, String, double) - Static method in class corejava.Format

prints a formatted number following printf conventions

print(PrintStream, String, long) - Static method in class corejava.Format

prints a formatted number following printf conventions

print(PrintStream, String, String) - Static method in class corejava.Format

prints a formatted number following printf conventions

printLog() - Method in class LearnInd

Prints the log file that contains the description of the parameter values and the output files

printPrompt(String) - Static method in class corejava.Console

print a prompt on the console but don't print a newline

printSet() - Method in class xcseco.XCSeco

Prints the actual chromosome set (population) of the XCS.

printSet() - Method in class xcseco.XClassifierSet

Prints the classifier set to the control panel.

printSet(PrintWriter) - Method in class xcseco.XClassifierSet

Prints the classifier set to the specified print writer (which usually refers to a file).

printXClassifier() - Method in class xcseco.XClassifier

Prints the classifier to the control panel.

printXClassifier(PrintWriter) - Method in class xcseco.XClassifier

Prints the classifier to the print writer (normally referencing a file).

pX - Static variable in class xcseco.XCSConstants

The probability of applying crossover in an offspring classifier.

R

randomActionWinner() - Method in class xcseco.PredictionArray

Selects an action randomly.

RandomIntGenerator - class corejava.RandomIntGenerator.

RandomIntGenerator(int, int) - Constructor for class corejava.RandomIntGenerator

Constructs the class that encapsulates the random integer

randomizeWeights() - Method in class NNeco

Puts randomly chosen values to all weights

readDouble(String) - Static method in class corejava.Console

read a floating point number from the console.

readInt(String) - Static method in class corejava.Console

read an integer from the console.

readString() - Static method in class corejava.Console

read a string from the console.

readString(String) - Static method in class corejava.Console

read a string from the console.

readWord() - Static method in class corejava.Console

read a word from the console.

remove() - Method in class corejava.LinkedList

remove the element under the cursor

report() - Method in class LearnInd

Saves all the output of the model in the corresponding panels and files
(if fileoutput is chosen) and generates the data for the ResultsWindow.

reset() - Method in class corejava.LinkedList

resets the cursor

results - Variable in class LearnInd

The output Window

ResultsWindow - class ResultsWindow.

Titre : Description : Copyright : Copyright (c) 2001 Soci�t� :

ResultsWindow() - Constructor for class ResultsWindow

rouletteActionWinner() - Method in class xcseco.PredictionArray

Selects an action in the prediction array by roulette wheel selection.

runGA(int, String, int) - Method in class xcseco.XClassifierSet

The Genetic Discovery in XCS takes place here.

S

saveprofit() - Method in class Firm

Saves the profit rate of the firm in temp_profit

selection() - Method in class genetic.Genetic

Selection: Creates new population through selection and tries to correct eventual degenerate Fitness point

setenv(String) - Method in class Firm

setenv(String) - Method in class GenFirm

setenv(String) - Method in class NWFirm

For compatibility with XCSFirm

setenv(String) - Method in class XCSFirm

Complete the global environment of the firm it must be completed by the specific environment in the setrd() method

setenv(String) - Method in class NNGenFirm

setFitness(double) - Method in class xcseco.XClassifier

Sets the fitness of the classifier.

SetFitness(int, double) - Method in class genetic.Genetic

setInputs(double[]) - Method in class NNeco

This method uses the provided one-dimensional array for setting the values of the inputs

setPrediction(double) - Method in class xcseco.XClassifier

Sets the prediction of the classifier.

setPredictionError(double) - Method in class xcseco.XClassifier

Sets the prediction error of the classifier.

setrd(int) - Method in class Firm

Each firm must override these common abstract methods.

setrd(int) - Method in class GenFirm

Compute RD following a GA rule where the fittness is provided by the average profit rate of the learning period

setrd(int) - Method in class NWFirm

setrd function is here for compatibility with GenFirm

setrd(int) - Method in class XCSFirm

Compute RD rate using an XCS

setrd(int) - Method in class NNGenFirm

Compute RD following a GA rule where the fittness is provided by the expected profit rate given by the ANN.

setSeed(long) - Static method in class xcseco.XCSConstants

Sets a random seed in order to randomize the pseudo random generator.

setTimeStamp(int) - Method in class xcseco.XClassifier

Sets the time stamp of the classifier.

setupDone - Static variable in class xcseco.XCSConstants

Checks if the setup of the constants has already been done.

showDocument(URL) - Method in class AppletFrame

showDocument(URL, String) - Method in class AppletFrame

showFirm() - Method in class Firm

showFirm() - Method in class GenFirm

Formats the output for one GenFirm.

showFirm() - Method in class NWFirm

Formats the data of the firm for screen output.

showFirm() - Method in class XCSFirm

Formats the output for one XCSFirm.

showFirm() - Method in class NNGenFirm

Formats the output for one GenFirm.

showStatus(String) - Method in class AppletFrame

Sigmoid(double) - Method in class NNeco

The sigmoid function used for activation

SigmoidP(double) - Method in class NNeco

The derivative of the sigmoid function.

size() - Method in class corejava.LinkedList

stop - Variable in class Cadre

subsumes(XClassifier) - Method in class xcseco.XClassifier

Returns if the classifier subsumes cl.

supply() - Method in class Firm

Returns the productivity_rate x Kapital

T

teletransportation - Static variable in class xcseco.XCSConstants

The maximal number of steps executed in one trial in a multi-step problem.

textValueChanged(TextEvent) - Method in class corejava.IntTextField

theta_del - Static variable in class xcseco.XCSConstants

Specified the threshold over which the fitness of a classifier may be considered in its deletion probability.

theta_GA - Static variable in class xcseco.XCSConstants

The threshold for the GA application in an action set.

theta_sub - Static variable in class xcseco.XCSConstants

The experience of a classifier required to be a subsumer.

toString() - Method in class corejava.Day

A string representation of the day

Train(double[][], double[][], int, int, int) - Method in class NNeco

Takes the data in a more standard two dimensional table and adapts it for using in the real train method.

Train(double[], double[], int) - Method in class NNeco

This method is called by the preceding Train method, it should not be directly called.

twoPointCrossover(XClassifier) - Method in class xcseco.XClassifier

Applies two point crossover and returns if the classifiers changed.

type - Variable in class Firm

This variable is used by each type of firm for declaring its type

U

updateActionSetSize(double) - Method in class xcseco.XClassifier

Updates the action set size.

updateFitness(double, double) - Method in class xcseco.XClassifier

Updates the fitness of the classifier according to the relative accuracy.

updatePrediction(double) - Method in class xcseco.XClassifier

Updates the prediction of the classifier according to P.

updatePreError(double) - Method in class xcseco.XClassifier

Updates the prediction error of the classifier according to P.

updateSet(double, double) - Method in class xcseco.XClassifierSet

Updates all parameters in the current set (should be the action set).

W

W1 - Variable in class NNeco

W2 - Variable in class NNeco

weekday() - Method in class corejava.Day

Gets the weekday

X

XClassifier - class xcseco.XClassifier.

Each instance of this class represents one classifier.

XClassifier(double, int, int, int) - Constructor for class xcseco.XClassifier

Construct a classifier with random condition and random action.

XClassifier(double, int, int, String) - Constructor for class xcseco.XClassifier

Construct matching classifier with random action.

XClassifier(double, int, String, int) - Constructor for class xcseco.XClassifier

Constructs a classifier with matching condition and specified action.

XClassifier(XClassifier) - Constructor for class xcseco.XClassifier

Constructs an identical XClassifier.

XClassifierSet - class xcseco.XClassifierSet.

This class handles the different sets of classifiers.

XClassifierSet(int) - Constructor for class xcseco.XClassifierSet

Creates a new, empty population initializing the population array to the maximal population size plus the number of possible actions.

XClassifierSet(String, XClassifierSet, int, int) - Constructor for class xcseco.XClassifierSet

Constructs a match set out of the population.

XClassifierSet(XClassifierSet, int) - Constructor for class xcseco.XClassifierSet

Constructs an action set out of the given match set.

XCSConstants - class xcseco.XCSConstants.

This class provides all relevant learning parameters for the XCS as well as other experimental settings and flags.

XCSConstants() - Constructor for class xcseco.XCSConstants

The default constructor.

xcseco - package xcseco

XCSeco - class xcseco.XCSeco.

Titre : XCSeco.java
Description : Version of XCS (by Martin Butz) driven by other classes.

XCSeco(int) - Constructor for class xcseco.XCSeco

XCSFirm - class XCSFirm.

XCSFirm.java
* Murat Yildizoglu - Universite Montesquieu Bordeaux IV France
* * Copyright (c) Murat Yildizoglu
* Permission to use, copy, modify, and distribute this
* software and its documentation for NON-COMMERCIAL purposes
* and without fee is hereby granted provided that this
* copyright notice appears in all copies.

XCSFirm(double, double, double, double, double, double, double, double, double, int, int, double, double, double, double, double, int, double, double, double, double, double, double, String) - Constructor for class XCSFirm

Initializes and computes the firm's caracteristics given the caracteristics of the industry to which it belongs.

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