Added alpha-beta pruning threshold to the AI and a configuration dialog
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f65d7ae2a3
commit
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@ -25,14 +25,16 @@ public class AIPlayer extends Player {
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private int availableProcessors;
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private int availableProcessors;
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private int maxDepth;
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private int maxDepth;
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private int alphaBetaThreshold;
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private volatile boolean exitRequested;
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private volatile boolean exitRequested;
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private volatile ExecutorService executor;
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private volatile ExecutorService executor;
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public AIPlayer(Board board, Color color, int maxDepth) {
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public AIPlayer(Board board, Color color, int maxDepth, int alphaBetaThreshold) {
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super(board, color);
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super(board, color);
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availableProcessors = Runtime.getRuntime().availableProcessors();
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availableProcessors = Runtime.getRuntime().availableProcessors();
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this.maxDepth = maxDepth;
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this.maxDepth = maxDepth;
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this.alphaBetaThreshold = alphaBetaThreshold;
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exitRequested = false;
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exitRequested = false;
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}
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}
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@ -62,7 +64,8 @@ public class AIPlayer extends Player {
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if (rem-- > 0) ++endIndex;
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if (rem-- > 0) ++endIndex;
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endIndex += step;
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endIndex += step;
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processors.add(
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processors.add(
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new MoveProcessor((Board) board.clone(), moves.subList(beginIndex, endIndex), color, maxDepth));
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new MoveProcessor((Board) board.clone(), moves.subList(beginIndex, endIndex), color, maxDepth,
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alphaBetaThreshold));
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beginIndex = endIndex;
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beginIndex = endIndex;
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}
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}
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@ -16,17 +16,19 @@ import dev.kske.chess.board.Piece.Color;
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public class MoveProcessor implements Callable<ProcessingResult> {
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public class MoveProcessor implements Callable<ProcessingResult> {
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private final Board board;
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private final Board board;
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private final List<Move> rootMoves;;
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private final List<Move> rootMoves;
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private final Color color;
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private final Color color;
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private final int maxDepth;
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private final int maxDepth;
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private final int alphaBetaThreshold;
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private Move bestMove;
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private Move bestMove;
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public MoveProcessor(Board board, List<Move> rootMoves, Color color, int maxDepth) {
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public MoveProcessor(Board board, List<Move> rootMoves, Color color, int maxDepth, int alphaBetaThreshold) {
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this.board = board;
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this.board = board;
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this.rootMoves = rootMoves;
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this.rootMoves = rootMoves;
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this.color = color;
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this.color = color;
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this.maxDepth = maxDepth;
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this.maxDepth = maxDepth;
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this.alphaBetaThreshold = alphaBetaThreshold;
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}
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}
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@Override
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@Override
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@ -43,7 +45,7 @@ public class MoveProcessor implements Callable<ProcessingResult> {
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int enemyValue = board.evaluate(color.opposite());
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int enemyValue = board.evaluate(color.opposite());
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int valueChange = teamValue - enemyValue;
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int valueChange = teamValue - enemyValue;
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if (depth < maxDepth && valueChange >= 0)
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if (depth < maxDepth && valueChange >= alphaBetaThreshold)
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valueChange -= miniMax(board, board.getMoves(color.opposite()), color.opposite(), depth + 1);
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valueChange -= miniMax(board, board.getMoves(color.opposite()), color.opposite(), depth + 1);
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if (valueChange > bestValue) {
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if (valueChange > bestValue) {
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82
src/dev/kske/chess/ui/AIConfigDialog.java
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82
src/dev/kske/chess/ui/AIConfigDialog.java
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@ -0,0 +1,82 @@
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package dev.kske.chess.ui;
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import java.awt.Dimension;
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import javax.swing.JButton;
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import javax.swing.JDialog;
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import javax.swing.JLabel;
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import javax.swing.JSpinner;
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import javax.swing.SpinnerNumberModel;
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/**
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* Project: <strong>Chess</strong><br>
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* File: <strong>AIConfigDialog.java</strong><br>
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* Created: <strong>16.07.2019</strong><br>
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* Author: <strong>Kai S. K. Engelbart</strong>
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*/
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public class AIConfigDialog extends JDialog {
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private static final long serialVersionUID = -8047984368152479992L;
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private int maxDepth;
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private int alphaBetaThreshold;
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private boolean startGame = false;
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public AIConfigDialog() {
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setSize(new Dimension(293, 212));
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setModal(true);
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setDefaultCloseOperation(JDialog.DISPOSE_ON_CLOSE);
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setTitle("AI Configuration");
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getContentPane().setLayout(null);
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JSpinner spAlphaBetaThreshold = new JSpinner();
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spAlphaBetaThreshold.setBounds(170, 0, 95, 28);
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getContentPane().add(spAlphaBetaThreshold);
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spAlphaBetaThreshold.setModel(new SpinnerNumberModel(-10, -100, 100, 5));
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JSpinner spMaxDepth = new JSpinner();
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spMaxDepth.setBounds(170, 68, 95, 28);
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getContentPane().add(spMaxDepth);
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spMaxDepth.setModel(new SpinnerNumberModel(4, 1, 10, 1));
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JLabel lblAlphabetaThreshold = new JLabel("Alpha-Beta Threshold:");
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lblAlphabetaThreshold.setBounds(16, 68, 119, 28);
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getContentPane().add(lblAlphabetaThreshold);
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JButton btnOk = new JButton("OK");
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btnOk.setBounds(16, 137, 84, 28);
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getContentPane().add(btnOk);
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btnOk.addActionListener((evt) -> {
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maxDepth = ((Integer) spMaxDepth.getValue()).intValue();
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alphaBetaThreshold = ((Integer) spAlphaBetaThreshold.getValue()).intValue();
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startGame = true;
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dispose();
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});
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btnOk.setToolTipText("Start the game");
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JButton btnCancel = new JButton("Cancel");
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btnCancel.setBounds(170, 137, 95, 28);
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getContentPane().add(btnCancel);
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btnCancel.addActionListener((evt) -> dispose());
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btnCancel.setToolTipText("Cancel the game start");
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JLabel lblMaximalRecursionDepth = new JLabel("Maximal Recursion Depth:");
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lblMaximalRecursionDepth.setBounds(16, 6, 141, 16);
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getContentPane().add(lblMaximalRecursionDepth);
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setLocationRelativeTo(null);
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}
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public int getMaxDepth() { return maxDepth; }
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public void setMaxDepth(int maxDepth) { this.maxDepth = maxDepth; }
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public int getAlphaBetaThreshold() { return alphaBetaThreshold; }
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public void setAlphaBetaThreshold(int alphaBetaThreshold) { this.alphaBetaThreshold = alphaBetaThreshold; }
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public boolean isStartGame() { return startGame; }
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public void setStartGame(boolean startGame) { this.startGame = startGame; }
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}
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@ -54,14 +54,19 @@ public class MenuBar extends JMenuBar {
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});
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});
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aiMenuItem.addActionListener((evt) -> {
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aiMenuItem.addActionListener((evt) -> {
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players.put(Color.WHITE, new NaturalPlayer(board, Color.WHITE, overlayComponent));
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AIConfigDialog dialog = new AIConfigDialog();
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players.put(Color.BLACK, new AIPlayer(board, Color.BLACK, 5));
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dialog.setVisible(true);
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startGame();
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if (dialog.isStartGame()) {
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players.put(Color.WHITE, new NaturalPlayer(board, Color.WHITE, overlayComponent));
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players.put(Color.BLACK,
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new AIPlayer(board, Color.BLACK, dialog.getMaxDepth(), dialog.getAlphaBetaThreshold()));
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startGame();
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}
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});
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});
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aiVsAiMenuItem.addActionListener((evt) -> {
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aiVsAiMenuItem.addActionListener((evt) -> {
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players.put(Color.WHITE, new AIPlayer(board, Color.WHITE, 5));
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players.put(Color.WHITE, new AIPlayer(board, Color.WHITE, 4, -10));
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players.put(Color.BLACK, new AIPlayer(board, Color.BLACK, 4));
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players.put(Color.BLACK, new AIPlayer(board, Color.BLACK, 3, 0));
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startGame();
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startGame();
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});
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});
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