diff --git a/AMOEBAonAMAK/src/agents/context/Context.java b/AMOEBAonAMAK/src/agents/context/Context.java
index 9504f902830cfb5cc18e78c8e439661a4ec06816..758792156bdb0e3ae40f72cee8d5f301e2cdd4a6 100644
--- a/AMOEBAonAMAK/src/agents/context/Context.java
+++ b/AMOEBAonAMAK/src/agents/context/Context.java
@@ -23,6 +23,10 @@ import ncs.NCS;
import utils.Pair;
import utils.TRACE_LEVEL;
+
+
+
+
/**
* The core agent of AMOEBA.
*
@@ -68,6 +72,9 @@ public class Context extends AmoebaAgent {
public boolean fusionned = false;
public boolean isInNeighborhood = false;
+ static final int VOID_CYCLE_START = 0;
+ static final int OVERLAP_CYCLE_START = 0;
+
public Context(AMOEBA amoeba) {
super(amoeba);
buildContext();
@@ -232,7 +239,7 @@ public class Context extends AmoebaAgent {
if(getAmas().getHeadAgent().lastEndogenousRequest.getType() == REQUEST.VOID) {
double startRange = getAmas().getHeadAgent().lastEndogenousRequest.getBounds().get(p).getA();
double endRange = getAmas().getHeadAgent().lastEndogenousRequest.getBounds().get(p).getB();
- System.out.println(startRange + " " + endRange);
+ //System.out.println(startRange + " " + endRange);
getAmas().getEnvironment()
.trace(TRACE_LEVEL.INFORM, new ArrayList<String>(Arrays.asList("Range creation by VOID", this.getName(), p.getName(), getAmas().getHeadAgent().meanNeighborhoodRaduises.get(p).toString())));
r = new Range(this, startRange, endRange, 0, true, true, p, getAmas().getHeadAgent().minMeanNeighborhoodStartIncrements, getAmas().getHeadAgent().minMeanNeighborhoodEndIncrements);
@@ -630,7 +637,7 @@ public class Context extends AmoebaAgent {
for (Percept pct : getAmas().getPercepts()) {
currentDistance = this.distance(ctxt, pct);
- if(currentDistance<-pct.getMappingErrorAllowedMin() && getAmas().getCycle()>250) {
+ if(currentDistance<-pct.getMappingErrorAllowedMin() && getAmas().getCycle()>OVERLAP_CYCLE_START) {
getEnvironment().trace(TRACE_LEVEL.DEBUG,new ArrayList<String>(Arrays.asList("OVERLAP",pct.getName(), ""+this,""+ctxt)) );
overlapCounts+=1;
overlapDistances.put(pct, Math.abs(currentDistance));
@@ -640,7 +647,7 @@ public class Context extends AmoebaAgent {
}
- if (currentDistance > pct.getMappingErrorAllowedMin() && getAmas().getCycle()>500) {
+ if (currentDistance > pct.getMappingErrorAllowedMin() && getAmas().getCycle()>VOID_CYCLE_START) {
getEnvironment().trace(TRACE_LEVEL.DEBUG,new ArrayList<String>(Arrays.asList("VOID",pct.getName(), ""+this,""+ctxt, "distance", ""+currentDistance)) );
voidDistances.put(pct, currentDistance);
bounds.put(pct, this.voidBounds(ctxt, pct));
@@ -652,7 +659,7 @@ public class Context extends AmoebaAgent {
}
- if (overlapCounts == getAmas().getPercepts().size() && getAmas().getCycle() > 250) {
+ if (overlapCounts == getAmas().getPercepts().size() && getAmas().getCycle() > OVERLAP_CYCLE_START) {
getEnvironment().trace(TRACE_LEVEL.INFORM, new ArrayList<String>(Arrays.asList(getAmas().getPercepts().size() + "OVERLAPS", ""+this,""+ctxt)) );
@@ -678,7 +685,7 @@ public class Context extends AmoebaAgent {
}
}
- else if(overlapCounts == getAmas().getPercepts().size()-1 && voidDistances.size() == 1 && getAmas().getCycle() > 500) {
+ else if(overlapCounts == getAmas().getPercepts().size()-1 && voidDistances.size() == 1 && getAmas().getCycle() > VOID_CYCLE_START) {
getEnvironment().trace(TRACE_LEVEL.INFORM, new ArrayList<String>(Arrays.asList("VOID", ""+this,""+ctxt)) );
diff --git a/AMOEBAonAMAK/src/agents/head/Head.java b/AMOEBAonAMAK/src/agents/head/Head.java
index 16684af32c6acc73ad196913333007522d806e18..e9cd39f20ecde87beb29684b399bce65a89941e4 100644
--- a/AMOEBAonAMAK/src/agents/head/Head.java
+++ b/AMOEBAonAMAK/src/agents/head/Head.java
@@ -348,7 +348,7 @@ public class Head extends AmoebaAgent {
getEnvironment().trace(TRACE_LEVEL.DEBUG, new ArrayList<String>(Arrays.asList("\n\n")));
getAmas().data.executionTimes[0]=System.currentTimeMillis();
- getEnvironment().trace(TRACE_LEVEL.INFORM, new ArrayList<String>(Arrays.asList("------------------------------------------------------------------------------------"
+ getEnvironment().trace(TRACE_LEVEL.CYCLE, new ArrayList<String>(Arrays.asList("------------------------------------------------------------------------------------"
+ "---------------------------------------- PLAY WITH ORACLE")));
if (activatedContexts.size() > 0) {
@@ -464,6 +464,7 @@ public class Head extends AmoebaAgent {
// }
// }
+
@@ -552,7 +553,7 @@ public class Head extends AmoebaAgent {
*/
private void playWithoutOracle() {
- getEnvironment().trace(TRACE_LEVEL.INFORM, new ArrayList<String>(Arrays.asList("------------------------------------------------------------------------------------"
+ getEnvironment().trace(TRACE_LEVEL.CYCLE, new ArrayList<String>(Arrays.asList("------------------------------------------------------------------------------------"
+ "---------------------------------------- PLAY WITHOUT ORACLE")));
logger().debug("HEAD without oracle", "Nombre de contextes activés: " + activatedContexts.size());
@@ -1279,7 +1280,7 @@ public class Head extends AmoebaAgent {
if(getAmas().data.oracleValue>0) {
- System.out.println(activatedContext.getName());
+ //System.out.println(activatedContext.getName()); REINFORCEMENT ?
}
diff --git a/AMOEBAonAMAK/src/experiments/F_XY_System.java b/AMOEBAonAMAK/src/experiments/F_XY_System.java
index 42897851276311ddec61ba99286aa73334231878..d2ebc1a8fc27319bb7cb2de89416d8d16c686682 100644
--- a/AMOEBAonAMAK/src/experiments/F_XY_System.java
+++ b/AMOEBAonAMAK/src/experiments/F_XY_System.java
@@ -107,4 +107,22 @@ public class F_XY_System implements StudiedSystem {
// TODO Auto-generated method stub
}
+
+ @Override
+ public Double getActiveRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+ @Override
+ public Double getSelfRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+ @Override
+ public Double getRandomRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
}
\ No newline at end of file
diff --git a/AMOEBAonAMAK/src/experiments/benchmark/NDimCube.java b/AMOEBAonAMAK/src/experiments/benchmark/NDimCube.java
index 25e9bfc9ad8b04a2d47a7723424a98796dfa0de6..88e5e7075c9ea2dc43233895433ddaeeb96f73cb 100644
--- a/AMOEBAonAMAK/src/experiments/benchmark/NDimCube.java
+++ b/AMOEBAonAMAK/src/experiments/benchmark/NDimCube.java
@@ -154,4 +154,22 @@ public class NDimCube implements StudiedSystem{
// TODO Auto-generated method stub
}
+
+ @Override
+ public Double getActiveRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+ @Override
+ public Double getSelfRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+ @Override
+ public Double getRandomRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
}
\ No newline at end of file
diff --git a/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Launcher.java b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Launcher.java
index 2f5c64163ebf134e1df6f05d9827411049e2eee0..2bb7df9c576c824ef81c488f80701aed001cff63 100644
--- a/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Launcher.java
+++ b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Launcher.java
@@ -1,9 +1,14 @@
package experiments.nDimensionsLaunchers;
+
import java.io.File;
import java.io.IOException;
import java.io.Serializable;
import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.HashMap;
+import java.util.List;
+import java.util.OptionalDouble;
import experiments.FILE;
import fr.irit.smac.amak.Configuration;
@@ -17,9 +22,11 @@ import javafx.scene.control.Slider;
import javafx.stage.Stage;
import kernel.AMOEBA;
import kernel.StudiedSystem;
+import kernel.World;
import kernel.backup.BackupSystem;
import kernel.backup.IBackupSystem;
import kernel.backup.SaveHelperImpl;
+import utils.TRACE_LEVEL;
/**
@@ -38,12 +45,13 @@ public class F_N_Launcher extends Application implements Serializable {
public static final boolean randomExploration = true;
public static final boolean limitedToSpaceZone = true;
//public static final double mappingErrorAllowed = 0.07; // BIG SQUARE
- public static double mappingErrorAllowed = 0.03; // MULTI
+ public static double mappingErrorAllowed = 0.05; // MULTI
public static final double explorationIncrement = 1.0 ;
public static final double explorationWidht = 0.5 ;
public static final boolean setActiveLearning = true ;
- public static final boolean setSelfLearning = true ;
+ public static final boolean setSelfLearning = false ;
public static final int nbCycle = 1000;
+ public static final int nbTest = 10;
@@ -62,101 +70,76 @@ public class F_N_Launcher extends Application implements Serializable {
// Set AMAK configuration before creating an AMOEBA
Configuration.multiUI=true;
- Configuration.commandLineMode = false;
+ Configuration.commandLineMode = true;
Configuration.allowedSimultaneousAgentsExecution = 1;
- Configuration.waitForGUI = true;
+ Configuration.waitForGUI = false;
Configuration.plotMilliSecondsUpdate = 20000;
- VUIMulti amoebaVUI = new VUIMulti("2D");
- AmoebaMultiUIWindow amoebaUI = new AmoebaMultiUIWindow("ELLSA", amoebaVUI);
- AMOEBA amoeba = new AMOEBA(amoebaUI, amoebaVUI);
+ HashMap<String, ArrayList<Double>> data = new HashMap<String, ArrayList<Double>>();
+
+ List<String> dataStrings = Arrays.asList("mappingScore", "randomRequests", "activeRequests","nbAgents");
+
+ for (String dataName : dataStrings){
+ data.put(dataName, new ArrayList<Double>());
+ }
+
+ for (int i = 0; i < nbTest; ++i) {
+ System.out.print(i + " ");
+ ellsaTest( data);
+ }
+ System.out.println("");
+
+
+
+
+
+
+ for (String dataName : dataStrings){
+ OptionalDouble averageScore = data.get(dataName).stream().mapToDouble(a->a).average();
+ Double deviationScore = data.get(dataName).stream().mapToDouble(a->Math.pow((a-averageScore.getAsDouble()),2)).sum();
+ System.out.println("[" + dataName +" AVERAGE] " + averageScore.getAsDouble());
+ System.out.println("[" + dataName +" DEVIATION] " +Math.sqrt(deviationScore/data.get(dataName).size()));
+ }
+
+
+
+ }
+
+
+ private void ellsaTest(HashMap<String, ArrayList<Double>> data) {
+ AMOEBA amoeba = new AMOEBA(null, null);
StudiedSystem studiedSystem = new F_N_Manager(spaceSize, dimension, nbOfModels, normType, randomExploration, explorationIncrement,explorationWidht,limitedToSpaceZone, oracleNoiseRange);
amoeba.setStudiedSystem(studiedSystem);
IBackupSystem backupSystem = new BackupSystem(amoeba);
File file = new File("resources/twoDimensionsLauncher.xml");
backupSystem.load(file);
- amoeba.saver = new SaveHelperImpl(amoeba, amoebaUI);
- amoeba.allowGraphicalScheduler(true);
- amoeba.setRenderUpdate(true);
+ amoeba.allowGraphicalScheduler(false);
+ amoeba.setRenderUpdate(false);
amoeba.data.learningSpeed = learningSpeed;
amoeba.data.numberOfPointsForRegression = regressionPoints;
amoeba.data.isActiveLearning = setActiveLearning;
amoeba.data.isSelfLearning = setSelfLearning;
amoeba.getEnvironment().setMappingErrorAllowed(mappingErrorAllowed);
+ amoeba.setRenderUpdate(false);
+
+ World.minLevel = TRACE_LEVEL.ERROR;
+
+
+
+
+
+ for (int i = 0; i < nbCycle; ++i) {
+ amoeba.cycle();
+ }
- // Exemple for adding a tool in the toolbar
- Slider slider = new Slider(0.01, 0.1, mappingErrorAllowed);
- slider.setShowTickLabels(true);
- slider.setShowTickMarks(true);
-
- slider.valueProperty().addListener(new ChangeListener<Number>() {
- @Override
- public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {
- System.out.println("new Value "+newValue);
- mappingErrorAllowed = (double)newValue;
- amoeba.getEnvironment().setMappingErrorAllowed(mappingErrorAllowed);
- }
- });
- amoebaUI.addToolbar(slider);
-
- studiedSystem.playOneStep();
- amoeba.learn(studiedSystem.getOutput());
-
- /* AUTOMATIC */
-// long start = System.currentTimeMillis();
-// for (int i = 0; i < nbCycle; ++i) {
-// studiedSystem.playOneStep();
-// amoeba.learn(studiedSystem.getOutput());
-// }
-// long end = System.currentTimeMillis();
-// System.out.println("Done in : " + (end - start) );
-//
-// start = System.currentTimeMillis();
-// for (int i = 0; i < nbCycle; ++i) {
-// studiedSystem.playOneStep();
-// amoeba.request(studiedSystem.getOutput());
-// }
-// end = System.currentTimeMillis();
-// System.out.println("Done in : " + (end - start) );
-
-
-// /* XP PIERRE */
-//
-// String fileName = fileName(new ArrayList<String>(Arrays.asList("GaussiennePierre")));
-//
-// FILE Pierrefile = new FILE("Pierre",fileName);
-// for (int i = 0; i < nbCycle; ++i) {
-// studiedSystem.playOneStep();
-// amoeba.learn(studiedSystem.getOutput());
-// if(amoeba.getHeadAgent().isActiveLearning()) {
-// studiedSystem.setActiveLearning(true);
-// studiedSystem.setSelfRequest(amoeba.getHeadAgent().getSelfRequest());
-//
-// }
-// }
-//
-// for (int i = 0; i < 10; ++i) {
-// studiedSystem.playOneStep();
-// System.out.println(studiedSystem.getOutput());
-// System.out.println(amoeba.request(studiedSystem.getOutput()));
-//
-//
-// }
-//
-// Pierrefile.write(new ArrayList<String>(Arrays.asList("ID contexte","Coeff Cte","Coeff X0","Coeff X1","Min Value","Max Value")));
-//
-// for(Context ctxt : amoeba.getContexts()) {
-//
-// writeMessage(Pierrefile, ctxt.toStringArrayPierre());
-//
-// }
-//
-//
-// Pierrefile.close();
+ data.get("mappingScore").add(amoeba.getHeadAgent().criticalities.getCriticality("spatialCriticality"));
+ data.get("randomRequests").add(studiedSystem.getRandomRequestCounts());
+ data.get("activeRequests").add(studiedSystem.getActiveRequestCounts());
+ data.get("nbAgents").add((double)amoeba.getContexts().size());
}
diff --git a/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_LauncherUI.java b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_LauncherUI.java
new file mode 100644
index 0000000000000000000000000000000000000000..c161535948db343636f1f8dd03eb486dfde5e043
--- /dev/null
+++ b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_LauncherUI.java
@@ -0,0 +1,196 @@
+package experiments.nDimensionsLaunchers;
+
+import java.io.File;
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.ArrayList;
+
+import experiments.FILE;
+import fr.irit.smac.amak.Configuration;
+import fr.irit.smac.amak.ui.VUIMulti;
+import gui.AmoebaMultiUIWindow;
+import gui.AmoebaWindow;
+import javafx.application.Application;
+import javafx.beans.value.ChangeListener;
+import javafx.beans.value.ObservableValue;
+import javafx.scene.control.Slider;
+import javafx.stage.Stage;
+import kernel.AMOEBA;
+import kernel.StudiedSystem;
+import kernel.backup.BackupSystem;
+import kernel.backup.IBackupSystem;
+import kernel.backup.SaveHelperImpl;
+
+
+/**
+ * The Class BadContextLauncherEasy.
+ */
+public class F_N_LauncherUI extends Application implements Serializable {
+
+
+ public static final double oracleNoiseRange = 0.5;
+ public static final double learningSpeed = 0.01;
+ public static final int regressionPoints = 100;
+ public static final int dimension = 2;
+ public static final double spaceSize = 50.0 ;
+ public static final int nbOfModels = 2 ;
+ public static final int normType = 2 ;
+ public static final boolean randomExploration = true;
+ public static final boolean limitedToSpaceZone = true;
+ //public static final double mappingErrorAllowed = 0.07; // BIG SQUARE
+ public static double mappingErrorAllowed = 0.05; // MULTI
+ public static final double explorationIncrement = 1.0 ;
+ public static final double explorationWidht = 0.5 ;
+ public static final boolean setActiveLearning = true ;
+ public static final boolean setSelfLearning = false ;
+ public static final int nbCycle = 1000;
+
+
+
+ public static void main(String[] args) throws IOException {
+
+
+ Application.launch(args);
+
+
+ }
+
+
+ @Override
+ public void start(Stage arg0) throws Exception {
+
+
+ // Set AMAK configuration before creating an AMOEBA
+ Configuration.multiUI=true;
+ Configuration.commandLineMode = false;
+ Configuration.allowedSimultaneousAgentsExecution = 1;
+ Configuration.waitForGUI = true;
+ Configuration.plotMilliSecondsUpdate = 20000;
+
+ VUIMulti amoebaVUI = new VUIMulti("2D");
+ AmoebaMultiUIWindow amoebaUI = new AmoebaMultiUIWindow("ELLSA", amoebaVUI);
+ AMOEBA amoeba = new AMOEBA(amoebaUI, amoebaVUI);
+ StudiedSystem studiedSystem = new F_N_Manager(spaceSize, dimension, nbOfModels, normType, randomExploration, explorationIncrement,explorationWidht,limitedToSpaceZone, oracleNoiseRange);
+ amoeba.setStudiedSystem(studiedSystem);
+ IBackupSystem backupSystem = new BackupSystem(amoeba);
+ File file = new File("resources/twoDimensionsLauncher.xml");
+ backupSystem.load(file);
+
+ amoeba.saver = new SaveHelperImpl(amoeba, amoebaUI);
+
+ amoeba.allowGraphicalScheduler(true);
+ amoeba.setRenderUpdate(true);
+ amoeba.data.learningSpeed = learningSpeed;
+ amoeba.data.numberOfPointsForRegression = regressionPoints;
+ amoeba.data.isActiveLearning = setActiveLearning;
+ amoeba.data.isSelfLearning = setSelfLearning;
+ amoeba.getEnvironment().setMappingErrorAllowed(mappingErrorAllowed);
+
+ for (int i = 0; i < nbCycle; ++i) {
+ amoeba.cycle();
+ }
+
+
+ // Exemple for adding a tool in the toolbar
+// Slider slider = new Slider(0.01, 0.1, mappingErrorAllowed);
+// slider.setShowTickLabels(true);
+// slider.setShowTickMarks(true);
+//
+// slider.valueProperty().addListener(new ChangeListener<Number>() {
+// @Override
+// public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) {
+// System.out.println("new Value "+newValue);
+// mappingErrorAllowed = (double)newValue;
+// amoeba.getEnvironment().setMappingErrorAllowed(mappingErrorAllowed);
+// }
+// });
+// amoebaUI.addToolbar(slider);
+
+ //studiedSystem.playOneStep();
+ //amoeba.learn(studiedSystem.getOutput());
+
+
+
+
+ /* AUTOMATIC */
+// long start = System.currentTimeMillis();
+// for (int i = 0; i < nbCycle; ++i) {
+// studiedSystem.playOneStep();
+// amoeba.learn(studiedSystem.getOutput());
+// }
+// long end = System.currentTimeMillis();
+// System.out.println("Done in : " + (end - start) );
+//
+// start = System.currentTimeMillis();
+// for (int i = 0; i < nbCycle; ++i) {
+// studiedSystem.playOneStep();
+// amoeba.request(studiedSystem.getOutput());
+// }
+// end = System.currentTimeMillis();
+// System.out.println("Done in : " + (end - start) );
+
+
+// /* XP PIERRE */
+//
+// String fileName = fileName(new ArrayList<String>(Arrays.asList("GaussiennePierre")));
+//
+// FILE Pierrefile = new FILE("Pierre",fileName);
+// for (int i = 0; i < nbCycle; ++i) {
+// studiedSystem.playOneStep();
+// amoeba.learn(studiedSystem.getOutput());
+// if(amoeba.getHeadAgent().isActiveLearning()) {
+// studiedSystem.setActiveLearning(true);
+// studiedSystem.setSelfRequest(amoeba.getHeadAgent().getSelfRequest());
+//
+// }
+// }
+//
+// for (int i = 0; i < 10; ++i) {
+// studiedSystem.playOneStep();
+// System.out.println(studiedSystem.getOutput());
+// System.out.println(amoeba.request(studiedSystem.getOutput()));
+//
+//
+// }
+//
+// Pierrefile.write(new ArrayList<String>(Arrays.asList("ID contexte","Coeff Cte","Coeff X0","Coeff X1","Min Value","Max Value")));
+//
+// for(Context ctxt : amoeba.getContexts()) {
+//
+// writeMessage(Pierrefile, ctxt.toStringArrayPierre());
+//
+// }
+//
+//
+// Pierrefile.close();
+
+ }
+
+
+
+ public static String fileName(ArrayList<String> infos) {
+ String fileName = "";
+
+ for(String info : infos) {
+ fileName += info + "_";
+ }
+
+ return fileName;
+ }
+
+ public static void writeMessage(FILE file, ArrayList<String> message) {
+
+ file.initManualMessage();
+
+ for(String m : message) {
+ file.addManualMessage(m);
+ }
+
+ file.sendManualMessage();
+
+ }
+
+
+
+
+}
diff --git a/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Manager.java b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Manager.java
index b0dba480054498eff35623f4579419d662bdf8e2..4bfe1f86c2d5e9b384d58736ea2eed8c4bb63b46 100644
--- a/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Manager.java
+++ b/AMOEBAonAMAK/src/experiments/nDimensionsLaunchers/F_N_Manager.java
@@ -51,7 +51,31 @@ public class F_N_Manager implements StudiedSystem{
double explorationIncrement;
double explorationMaxVariation;
+ private Double activeRequestCounts = 0.0;
+ private Double selfRequestCounts = 0.0;
+ private Double randomRequestCounts = 0.0;
+ public Double getActiveRequestCounts() {
+ return activeRequestCounts;
+ }
+
+
+
+
+ public Double getSelfRequestCounts() {
+ return selfRequestCounts;
+ }
+
+
+
+
+ public Double getRandomRequestCounts() {
+ return randomRequestCounts;
+ }
+
+
+
+
/* Parameters */
private static final double gaussianCoef = 1000;
private static final double gaussianVariance = 10;
@@ -97,6 +121,28 @@ public class F_N_Manager implements StudiedSystem{
modelCoefs2[dimension] = (int) (Math.random() * 500 - 255);
+ //printModels(nbOfModels);
+
+
+
+ randomExploration= rndExploration;
+
+ explorationVector = new double[dimension];
+ for(int i = 0 ; i < dimension ; i++) {
+ explorationVector[i] = Math.random() - 0.5;
+ }
+ double vectorNorm = normeP(explorationVector, 2);
+ for(int i = 0 ; i < dimension ; i++) {
+ explorationVector[i] /= vectorNorm;
+ }
+
+
+ explorationIncrement = explIncrement;
+ explorationMaxVariation = explnVariation;
+ }
+
+
+ private void printModels(int nbOfModels) {
System.out.println("ZONE 1 DISKS");
for(int nb = 0; nb<nbOfModels; nb++) {
System.out.print(modelCoefs[nb][dimension] + "\t");
@@ -123,23 +169,6 @@ public class F_N_Manager implements StudiedSystem{
}
System.out.println("");
System.out.println("");
-
-
-
- randomExploration= rndExploration;
-
- explorationVector = new double[dimension];
- for(int i = 0 ; i < dimension ; i++) {
- explorationVector[i] = Math.random() - 0.5;
- }
- double vectorNorm = normeP(explorationVector, 2);
- for(int i = 0 ; i < dimension ; i++) {
- explorationVector[i] /= vectorNorm;
- }
-
-
- explorationIncrement = explIncrement;
- explorationMaxVariation = explnVariation;
}
@@ -160,12 +189,14 @@ public class F_N_Manager implements StudiedSystem{
for(int i = 0 ; i < dimension ; i++) {
x[i] = selfRequest.get("px" + i);
}
+ selfRequestCounts++;
}
else if(activeLearning) {
for(int i = 0 ; i < dimension ; i++) {
x[i] = selfRequest.get("px" + i);
}
+ activeRequestCounts ++;
}
else {
@@ -174,9 +205,10 @@ public class F_N_Manager implements StudiedSystem{
for(int i = 0 ; i < dimension ; i++) {
x[i] = (generator.nextDouble() - 0.5) * spaceSize * 4;
}
+ randomRequestCounts++;
}
- System.out.println("[PLAY ONE STEP] " + "selfLearning " + selfLearning + " activeLearning " + activeLearning);
+ //System.out.println("[PLAY ONE STEP] " + "selfLearning " + selfLearning + " activeLearning " + activeLearning);
return null;
}
@@ -286,13 +318,13 @@ public class F_N_Manager implements StudiedSystem{
/* Disc */
- //return (xRequest[0]*xRequest[0] + xRequest[1]*xRequest[1] < spaceSize*spaceSize ) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]);
+ return (xRequest[0]*xRequest[0] + xRequest[1]*xRequest[1] < spaceSize*spaceSize ) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]);
/* Square */
//return (xRequest[0] > -spaceSize && xRequest[0] < spaceSize && xRequest[0] < spaceSize && xRequest[1] > -spaceSize) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]) ;
/* Triangle */
- return (xRequest[0] > xRequest[1]) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]);
+ //return (xRequest[0] > xRequest[1]) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]);
/* Split */
//return ( xRequest[0] <= 0 ) ? model1(xRequest[0],xRequest[1]) : model2(xRequest[0],xRequest[1]);
@@ -584,7 +616,7 @@ private double[] subZoneCenter3D(int nb) {
activeLearning=false;
}
//out.put("oracle",result);
- System.out.println("[GET OUTPUT] " +out);
+ //System.out.println("[GET OUTPUT] " +out);
return out;
}
@@ -718,7 +750,7 @@ private double[] subZoneCenter3D(int nb) {
public void setSelfRequest(HashMap<Percept, Double> request){
HashMap<String,Double> newRequest = new HashMap<String,Double>();
- System.out.println("[SET SELF REQUEST] " +request);
+ //System.out.println("[SET SELF REQUEST] " +request);
for(Percept pct : request.keySet()) {
newRequest.put(pct.getName(), request.get(pct));
diff --git a/AMOEBAonAMAK/src/experiments/reinforcement/WithStudiedSystem/ReinforcementManager2D.java b/AMOEBAonAMAK/src/experiments/reinforcement/WithStudiedSystem/ReinforcementManager2D.java
index 56f3dc2dac3ffd382b692002544eafcf8775d770..befc780052a0b7820db460cc83228d873dfced39 100644
--- a/AMOEBAonAMAK/src/experiments/reinforcement/WithStudiedSystem/ReinforcementManager2D.java
+++ b/AMOEBAonAMAK/src/experiments/reinforcement/WithStudiedSystem/ReinforcementManager2D.java
@@ -523,6 +523,39 @@ public class ReinforcementManager2D implements StudiedSystem{
}
+
+
+
+
+
+ @Override
+ public Double getActiveRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+
+
+
+
+
+ @Override
+ public Double getSelfRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
+
+
+
+
+
+ @Override
+ public Double getRandomRequestCounts() {
+ // TODO Auto-generated method stub
+ return null;
+ }
+
diff --git a/AMOEBAonAMAK/src/kernel/StudiedSystem.java b/AMOEBAonAMAK/src/kernel/StudiedSystem.java
index 88ec60c66a966bc527bfc14404444a68c96d08fd..d69a549f838e5746da2ec52524d9f9bd63e9c428 100644
--- a/AMOEBAonAMAK/src/kernel/StudiedSystem.java
+++ b/AMOEBAonAMAK/src/kernel/StudiedSystem.java
@@ -10,6 +10,8 @@ import agents.percept.Percept;
*
*/
public interface StudiedSystem extends Serializable{
+
+
/**
* Tell the StudiedSystem to advance its simulation of one step
@@ -47,5 +49,20 @@ public interface StudiedSystem extends Serializable{
public void setControlModels(HashMap<String, AMOEBA> controlModels);
public void setControl(boolean value);
+
+ public Double getActiveRequestCounts() ;
+
+
+
+
+
+ public Double getSelfRequestCounts() ;
+
+
+
+
+ public Double getRandomRequestCounts() ;
+
+
}
diff --git a/AMOEBAonAMAK/src/kernel/World.java b/AMOEBAonAMAK/src/kernel/World.java
index c065a4d45e09c4096d630031b43138dc24c51056..01d9346e77fba479ca986ffbcaf0c6f4af729ef7 100644
--- a/AMOEBAonAMAK/src/kernel/World.java
+++ b/AMOEBAonAMAK/src/kernel/World.java
@@ -34,6 +34,8 @@ public class World extends Environment {
+
+
public static TRACE_LEVEL minLevel = TRACE_LEVEL.INFORM;
private AMOEBA amoeba;
diff --git a/AMOEBAonAMAK/src/utils/TRACE_LEVEL.java b/AMOEBAonAMAK/src/utils/TRACE_LEVEL.java
index bc2da4ad5f98cbdfc9969723dcc707528bba233d..0a1ce9acaae6c2bbd136cf3256c730dd628410b1 100644
--- a/AMOEBAonAMAK/src/utils/TRACE_LEVEL.java
+++ b/AMOEBAonAMAK/src/utils/TRACE_LEVEL.java
@@ -1,7 +1,7 @@
package utils;
public enum TRACE_LEVEL {
- ERROR(200), NCS(100), EVENT(50), STATE(40), INFORM(20), DEBUG(0);
+ ERROR(200), CYCLE(150), NCS(100), EVENT(50), STATE(40), INFORM(20), DEBUG(0);
private final int order;