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Commit 89f4873c authored by BrunoDatoMeneses's avatar BrunoDatoMeneses
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ADD: new multiUI launches

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AMAKFX/src/fr/irit/smac/amak/examples/randomantsMultiUi/AntsLaunchExampleMultiUI.java
+ 13
− 5
View file @ 89f4873c
...@@ -27,15 +27,23 @@ public class AntsLaunchExampleMultiUI extends Application{ ...@@ -27,15 +27,23 @@ public class AntsLaunchExampleMultiUI extends Application{
AmasMultiUIWindow window = new AmasMultiUIWindow("Random Ants Multi UI 1"); AmasMultiUIWindow window = new AmasMultiUIWindow("Random Ants Multi UI 1");
AmasMultiUIWindow window2 = new AmasMultiUIWindow("Random Ants Multi UI 2"); //AmasMultiUIWindow window2 = new AmasMultiUIWindow("Random Ants Multi UI 2");
WorldExampleMultiUI env = new WorldExampleMultiUI(window); WorldExampleMultiUI env = new WorldExampleMultiUI(window);
WorldExampleMultiUI env2 = new WorldExampleMultiUI(window2); //WorldExampleMultiUI env2 = new WorldExampleMultiUI(window2);
AntHillExampleMultiUI amas1 = new AntHillExampleMultiUI(window, VUIMulti.getDefault(), env); AntHillExampleMultiUI ants = new AntHillExampleMultiUI(window, VUIMulti.get("Ants VUI 1"), env);
AntHillExampleMultiUI amas2 = new AntHillExampleMultiUI(window2, VUIMulti.getDefault(), env2); //new AntHillExampleMultiUI(window2, VUIMulti.get("Ants VUI 2"), env2);
for(int i=0;i<1000;i++)
ants.cycle();
}
@Override
public void stop() throws Exception {
super.stop();
System.exit(0);
} }
} }
AMOEBAonAMAK/src/experiments/AdvancedMain.java
+ 145
− 122
View file @ 89f4873c
package experiments; package experiments;
import java.io.File; import java.io.File;
import java.io.IOException; import java.io.IOException;
import fr.irit.smac.amak.Configuration; import fr.irit.smac.amak.Configuration;
import fr.irit.smac.amak.tools.Log; import fr.irit.smac.amak.tools.Log;
import gui.AmoebaWindow; import fr.irit.smac.amak.ui.VUIMulti;
import javafx.beans.value.ChangeListener; import gui.AmoebaMultiUIWindow;
import javafx.beans.value.ObservableValue; import gui.AmoebaWindow;
import javafx.scene.control.Slider; import javafx.application.Application;
import kernel.AMOEBA; import javafx.beans.value.ChangeListener;
import kernel.StudiedSystem; import javafx.beans.value.ObservableValue;
import kernel.backup.BackupSystem; import javafx.scene.control.Slider;
import kernel.backup.IBackupSystem; import javafx.stage.Stage;
import kernel.backup.SaveHelperImpl; import kernel.AMOEBA;
import kernel.StudiedSystem;
/** import kernel.backup.BackupSystem;
* A more advanced and complete main. import kernel.backup.IBackupSystem;
* @author Hugo import kernel.backup.SaveHelperImpl;
*
*/ /**
public class AdvancedMain { * A more advanced and complete main.
* @author Hugo
public static void main(String[] args) throws IOException { *
// Instantiating the MainWindow before usage. */
// It also allows you to change some of its behavior before creating an AMOEBA. public class AdvancedMain extends Application{
// If you use Configuration.commandLineMode = True , then you should skip it.
AmoebaWindow.instance();
example(); public static void main(String[] args) throws IOException {
}
// Application.launch(args) launches JavaFX process
private static void example() throws IOException { // It also allows you to change some of its behavior before creating an AMOEBA.
// If you use Configuration.commandLineMode = True , then you should skip it.
// Set AMAK configuration before creating an AMOEBA Application.launch(args);
Configuration.commandLineMode = false;
Configuration.allowedSimultaneousAgentsExecution = 1;
Configuration.waitForGUI = true; }
// Create an AMOEBA @Override
AMOEBA amoeba = new AMOEBA(); public void start(Stage primaryStage) throws Exception, IOException {
// Create a studied system and add it to the amoeba.
// Adding a studied system to an amoeba allow you to control the learning speed (the simulation : how many cycles per second) example();
// with amoeba's scheduler, graphically or programmatically.
StudiedSystem studiedSystem = new F_XY_System(50.0); }
amoeba.setStudiedSystem(studiedSystem);
// A window appeared, allowing to control the simulation, but if you try to run it
// it will crash (there's no percepts !). We need to load a configuration :
private static void example() throws IOException {
// Change how new Context are rendered.
//Context.defaultRenderStrategy = NoneRenderer.class; // Set AMAK configuration before creating an AMOEBA
Configuration.commandLineMode = false;
// Create a backup system for the AMOEBA Configuration.allowedSimultaneousAgentsExecution = 1;
IBackupSystem backupSystem = new BackupSystem(amoeba); Configuration.waitForGUI = true;
// Load a configuration matching the studied system Configuration.multiUI = true;
File file = new File("resources/twoDimensionsLauncher.xml");
backupSystem.load(file);
// Note : if you intend to use a SaveHelper, you can use SaveHelper.load instead of a BackupSystem VUIMulti amoebaVUI = VUIMulti.get("2D");
AmoebaMultiUIWindow amoebaUI = new AmoebaMultiUIWindow("ELLSA", amoebaVUI);
// We add an optional saver, allowing us to autosave the amoeba at each cycle.
// The SaveHelper also add graphical tools to save and load AMOEBA's state. // Create an AMOEBA
amoeba.saver = new SaveHelperImpl(amoeba); AMOEBA amoeba = new AMOEBA(amoebaUI, amoebaVUI);
// Autosave slow execution, if you want fast training, set saver to null, // Create a studied system and add it to the amoeba.
// or saver.autoSave = false. // Adding a studied system to an amoeba allow you to control the learning speed (the simulation : how many cycles per second)
// with amoeba's scheduler, graphically or programmatically.
// The amoeba is ready to be used. StudiedSystem studiedSystem = new F_XY_System(50.0);
// Next we show how to control it with code : amoeba.setStudiedSystem(studiedSystem);
// A window appeared, allowing to control the simulation, but if you try to run it
// We deny the possibility to change simulation speed with the UI // it will crash (there's no percepts !). We need to load a configuration :
amoeba.allowGraphicalScheduler(false);
// We allow rendering // Change how new Context are rendered.
amoeba.setRenderUpdate(true); //Context.defaultRenderStrategy = NoneRenderer.class;
long start = System.currentTimeMillis();
// We run some learning cycles // Create a backup system for the AMOEBA
int nbCycle = 1000; IBackupSystem backupSystem = new BackupSystem(amoeba);
for (int i = 0; i < nbCycle; ++i) { // Load a configuration matching the studied system
studiedSystem.playOneStep(); File file = new File("resources/twoDimensionsLauncher.xml");
amoeba.learn(studiedSystem.getOutput()); backupSystem.load(file);
} // Note : if you intend to use a SaveHelper, you can use SaveHelper.load instead of a BackupSystem
long end = System.currentTimeMillis();
System.out.println("Done in : " + (end - start) / 1000.0); // We add an optional saver, allowing us to autosave the amoeba at each cycle.
// The SaveHelper also add graphical tools to save and load AMOEBA's state.
// We create a manual save point amoeba.saver = new SaveHelperImpl(amoeba);
amoeba.saver.newManualSave("TestManualSave"); // Autosave slow execution, if you want fast training, set saver to null,
// or saver.autoSave = false.
// We set the log level to INFORM, to avoid debug logs that slow down simulation
Log.defaultMinLevel = Log.Level.INFORM; // The amoeba is ready to be used.
// Next we show how to control it with code :
// We deactivate rendering
amoeba.setRenderUpdate(false); // We deny the possibility to change simulation speed with the UI
// Do some more learning amoeba.allowGraphicalScheduler(false);
start = System.currentTimeMillis(); // We allow rendering
for (int i = 0; i < nbCycle; ++i) { amoeba.setRenderUpdate(true);
studiedSystem.playOneStep(); long start = System.currentTimeMillis();
amoeba.learn(studiedSystem.getOutput()); // We run some learning cycles
} int nbCycle = 1000;
end = System.currentTimeMillis(); for (int i = 0; i < nbCycle; ++i) {
System.out.println("Done in : " + (end - start) / 1000.0); studiedSystem.playOneStep();
amoeba.learn(studiedSystem.getOutput());
}
// Activate rendering back long end = System.currentTimeMillis();
amoeba.setRenderUpdate(true); System.out.println("Done in : " + (end - start) / 1000.0);
// After activating rendering we need to update agent's visualization
amoeba.updateAgentsVisualisation(); // We create a manual save point
// We allow simulation control with the UI amoeba.saver.newManualSave("TestManualSave");
amoeba.allowGraphicalScheduler(true);
// We set the log level to INFORM, to avoid debug logs that slow down simulation
// Exemple for adding a tool in the toolbar Log.defaultMinLevel = Log.Level.INFORM;
Slider slider = new Slider(0, 10, 0);
slider.setShowTickLabels(true); // We deactivate rendering
slider.setShowTickMarks(true); amoeba.setRenderUpdate(false);
slider.valueProperty().addListener(new ChangeListener<Number>() { // Do some more learning
@Override start = System.currentTimeMillis();
public void changed(ObservableValue<? extends Number> observable, Number oldValue, Number newValue) { for (int i = 0; i < nbCycle; ++i) {
System.out.println("new Value "+newValue); studiedSystem.playOneStep();
} amoeba.learn(studiedSystem.getOutput());
}); }
AmoebaWindow.addToolbar(slider); end = System.currentTimeMillis();
System.out.println("Done in : " + (end - start) / 1000.0);
System.out.println("End main");
}
} // Activate rendering back
amoeba.setRenderUpdate(true);
// After activating rendering we need to update agent's visualization
amoeba.updateAgentsVisualisation();
// We allow simulation control with the UI
amoeba.allowGraphicalScheduler(true);
// Exemple for adding a tool in the toolbar
Slider slider = new Slider(0, 10, 0);
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);
}
});
amoebaUI.addToolbar(slider);
System.out.println("End main");
}
}
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