update mcts

# Conflicts:
#	app/src/main/java/org/toop/Main.java
#	app/src/main/java/org/toop/app/widget/view/LocalMultiplayerView.java
#	framework/src/main/java/org/toop/framework/game/BitboardGame.java
#	framework/src/main/java/org/toop/framework/game/games/reversi/BitboardReversi.java
#	game/src/main/java/org/toop/game/players/ArtificialPlayer.java
#	game/src/main/java/org/toop/game/players/ai/MCTSAI.java
#	game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI1.java
#	game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI2.java
#	game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI3.java
#	game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI4.java

app/src/main/java/org/toop/Main.java

@@ -1,9 +1,68 @@
 package org.toop;
 
 import org.toop.app.App;
+import org.toop.framework.game.games.reversi.BitboardReversi;
+import org.toop.framework.game.players.ArtificialPlayer;
+import org.toop.game.players.ai.MCTSAI;
+import org.toop.game.players.ai.RandomAI;
+import org.toop.game.players.ai.mcts.MCTSAI1;
+import org.toop.game.players.ai.mcts.MCTSAI2;
+import org.toop.game.players.ai.mcts.MCTSAI3;
+import org.toop.game.players.ai.mcts.MCTSAI4;
+
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
 
 public final class Main {
     static void main(String[] args) {
-        App.run(args);
+		App.run(args);
+
+		// final ExecutorService executor = Executors.newFixedThreadPool(1);
+		// executor.execute(() -> testAIs(25));
     }
-}
+
+	private static void testAIs(int games) {
+		var versions = new ArtificialPlayer[5];
+		versions[0] = new ArtificialPlayer(new RandomAI(), "Random AI");
+		versions[1] = new ArtificialPlayer(new MCTSAI1(1000), "MCTS V1 AI");
+		versions[2] = new ArtificialPlayer(new MCTSAI2(1000), "MCTS V2 AI");
+		versions[3] = new ArtificialPlayer(new MCTSAI3(10, 10), "MCTS V3 AI");
+		versions[4] = new ArtificialPlayer(new MCTSAI4(10, 10), "MCTS V4 AI");
+
+		for (int i = 0; i < versions.length; i++) {
+			for (int j = i + 1; j < versions.length; j++) {
+				final int playerIndex1 = i % versions.length;
+				final int playerIndex2 = j % versions.length;
+
+				testAIVSAI(games, new ArtificialPlayer[] { versions[playerIndex1], versions[playerIndex2]});
+			}
+		}
+	}
+
+	private static void testAIVSAI(int games, ArtificialPlayer[] ais) {
+		int wins = 0;
+		int ties = 0;
+
+		for (int i = 0; i < games; i++) {
+			final BitboardReversi match = new BitboardReversi();
+			match.init(ais);
+
+			while (!match.isTerminal()) {
+				final int currentAI = match.getCurrentTurn();
+				final long move = ais[currentAI].getMove(match);
+
+				match.play(move);
+			}
+
+			if (match.getWinner() < 0) {
+				ties++;
+				continue;
+			}
+
+			wins += match.getWinner() == 0? 1 : 0;
+		}
+
+		System.out.printf("Out of %d games, %s won %d -- tied %d -- lost %d, games against %s\n", games, ais[0].getName(), wins, ties, games - wins - ties, ais[1].getName());
+		System.out.printf("Average win rate was: %.2f\n\n", wins / (float)games);
+	}
+}

app/src/main/java/org/toop/app/Server.java

@@ -210,7 +210,7 @@ public final class Server {
 
             Player[] players = new Player[2];
 
-            players[userStartingTurn] = new ArtificialPlayer(new MCTSAI3(1000, 8), user);
+            players[userStartingTurn] = new ArtificialPlayer(new MCTSAI3(1000, Runtime.getRuntime().availableProcessors()), user);
             players[opponentStartingTurn] = new OnlinePlayer(response.opponent());
 
             switch (type) {

app/src/main/java/org/toop/app/gameControllers/GenericGameController.java

@@ -10,7 +10,6 @@ import org.toop.app.widget.WidgetContainer;
 import org.toop.app.widget.view.GameView;
 import org.toop.framework.eventbus.EventFlow;
 import org.toop.framework.eventbus.GlobalEventBus;
-import org.toop.framework.game.games.reversi.BitboardReversi;
 import org.toop.framework.gameFramework.controller.GameController;
 import org.toop.framework.gameFramework.model.game.threadBehaviour.SupportsOnlinePlay;
 import org.toop.framework.gameFramework.model.game.TurnBasedGame;
@@ -159,14 +158,8 @@ public class GenericGameController implements GameController {
         canvas.redraw(gameCopy);
         String gameType = game.getClass().getSimpleName().replace("Bitboard","");
         gameView.nextPlayer(true, getCurrentPlayer().getName(), game.getPlayer(1-getCurrentPlayerIndex()).getName(),gameType);
-        if (gameType.equals("Reversi")) {
+        if (getCurrentPlayer() instanceof LocalPlayer && gameType.equals("Reversi")){
-            BitboardReversi reversiGame = (BitboardReversi) game;
+            ((ReversiBitCanvas)canvas).drawLegalDots(gameCopy);
-            BitboardReversi.Score reversiScore = reversiGame.getScore();
-            gameView.setPlayer1Score(reversiScore.black());
-            gameView.setPlayer2Score(reversiScore.white());
-            if (getCurrentPlayer() instanceof LocalPlayer) {
-                ((ReversiBitCanvas)canvas).drawLegalDots(gameCopy);
-            }
         }
     }
 }

app/src/main/java/org/toop/app/gameControllers/ReversiBitController.java

@@ -11,19 +11,13 @@ import org.toop.framework.game.players.OnlinePlayer;
 import java.util.Arrays;
 
 public class ReversiBitController extends GenericGameController {
-
-    private BitboardReversi game;
-
     public ReversiBitController(Player[] players) {
         BitboardReversi game = new BitboardReversi();
         game.init(players);
+
         ThreadBehaviour thread = Arrays.stream(players).anyMatch(e -> e instanceof OnlinePlayer) ?
                 new OnlineThreadBehaviour(game) : new LocalThreadBehaviour(game);
 
         super(new ReversiBitCanvas(), game, thread, "Reversi");
     }
-
-    public BitboardReversi.Score getScore() {
-        return game.getScore();
-    }
 }

app/src/main/java/org/toop/app/widget/popup/GameOverPopup.java

@@ -4,7 +4,6 @@ import org.toop.app.widget.complex.ConfirmWidget;
 import org.toop.app.widget.complex.PopupWidget;
 
 import javafx.geometry.Pos;
-import org.toop.framework.game.games.reversi.BitboardReversi;
 
 public final class GameOverPopup extends PopupWidget {
 	public GameOverPopup(boolean winOrTie, String winner) {
@@ -16,6 +15,7 @@ public final class GameOverPopup extends PopupWidget {
         else{
             confirmWidget.setMessage("It was a tie!");
         }
+
 		confirmWidget.addButton("ok", this::hide);
 
 		add(Pos.CENTER, confirmWidget);

app/src/main/java/org/toop/app/widget/view/GameView.java

@@ -26,8 +26,6 @@ public final class GameView extends ViewWidget {
     private final Text player2Header;
     private Circle player1Icon;
     private Circle player2Icon;
-    private final Text player1Score;
-    private final Text player2Score;
 	private final Button forfeitButton;
 	private final Button exitButton;
     private final TextField chatInput;
@@ -42,8 +40,6 @@ public final class GameView extends ViewWidget {
         player2Header = Primitive.header("");
         player1Icon = new Circle();
         player2Icon = new Circle();
-        player1Score = Primitive.header("");
-        player2Score = Primitive.header("");
 
 		if (onForfeit != null) {
 			forfeitButton = Primitive.button("forfeit", () -> onForfeit.run(), false);
@@ -157,16 +153,14 @@ public final class GameView extends ViewWidget {
     private void setPlayerInfoReversi() {
         var player1box = Primitive.hbox(
                 player1Icon,
-                player1Header,
+                player1Header
-                player1Score
         );
 
         player1box.getStyleClass().add("hboxspacing");
 
         var player2box = Primitive.hbox(
                 player2Icon,
-                player2Header,
+                player2Header
-                player2Score
         );
 
         player2box.getStyleClass().add("hboxspacing");
@@ -184,12 +178,4 @@ public final class GameView extends ViewWidget {
         player2Icon.setFill(Color.BLACK);
         add(Pos.TOP_RIGHT, playerInfo);
     }
-
-    public void setPlayer1Score(int score) {
-        player1Score.setText("(" + Integer.toString(score) + ")");
-    }
-
-    public void setPlayer2Score(int score) {
-        player2Score.setText("(" + Integer.toString(score) + ")");
-    }
 }

app/src/main/java/org/toop/app/widget/view/LocalMultiplayerView.java

@@ -82,13 +82,13 @@ public class LocalMultiplayerView extends ViewWidget {
                     if (information.players[0].isHuman) {
                         players[0] = new LocalPlayer(information.players[0].name);
                     } else {
-						// players[0] = new ArtificialPlayer(new RandomAI(), "Random AI");
+						// players[0] = new ArtificialPlayer(new RandomAI<BitboardReversi>(), "Random AI");
-						players[0] = new ArtificialPlayer(new MCTSAI1(100), "MCTS V1 AI");
+						players[0] = new ArtificialPlayer(new MCTSAI4(500, 4), "MCTS V4 AI");
                     }
                     if (information.players[1].isHuman) {
                         players[1] = new LocalPlayer(information.players[1].name);
                     } else {
-						players[1] = new ArtificialPlayer(new MCTSAI4(100, 8), "MCTS V4 AI");
+						players[1] = new ArtificialPlayer(new MCTSAI1(500), "MCTS V1 AI");
                     }
                     if (AppSettings.getSettings().getTutorialFlag() && AppSettings.getSettings().getFirstReversi()) {
                         new ShowEnableTutorialWidget(

framework/src/main/java/org/toop/framework/game/BitboardGame.java

@@ -6,6 +6,7 @@ import org.toop.framework.gameFramework.model.game.TurnBasedGame;
 import org.toop.framework.gameFramework.model.player.Player;
 
 import java.util.Arrays;
+import java.util.concurrent.atomic.AtomicInteger;
 
 // There is AI performance to be gained by getting rid of non-primitives and thus speeding up deepCopy
 public abstract class BitboardGame implements TurnBasedGame {
@@ -17,8 +18,8 @@ public abstract class BitboardGame implements TurnBasedGame {
     private Player[] players;
 
 	// long is 64 bits. Every game has a limit of 64 cells maximum.
-	protected final long[] playerBitboard;
+	private final long[] playerBitboard;
-	protected int currentTurn = 0;
+	private int currentTurn = 0;
 	private final int playerCount;
 
 	public BitboardGame(int columnSize, int rowSize, int playerCount) {
@@ -74,8 +75,6 @@ public abstract class BitboardGame implements TurnBasedGame {
 		return playerBitboard.length;
 	}
 
-    public int getAmountOfTurns() { return currentTurn; }
-
 	public int getCurrentTurn() {
 		return getCurrentPlayerIndex();
 	}

framework/src/main/java/org/toop/framework/game/games/reversi/BitboardReversi.java

@@ -4,6 +4,7 @@ import org.toop.framework.game.BitboardGame;
 import org.toop.framework.gameFramework.GameState;
 import org.toop.framework.gameFramework.model.game.PlayResult;
 import org.toop.framework.gameFramework.model.player.Player;
+import org.toop.framework.game.BitboardGame;
 
 public class BitboardReversi extends BitboardGame {
 
@@ -367,11 +368,4 @@ public class BitboardReversi extends BitboardGame {
 
 		return bestMove;
 	}
-
-	@Override
-	public void setFrom(long player1, long player2, int turn) {
-		this.playerBitboard[0] = player1;
-		this.playerBitboard[1] = player2;
-		this.currentTurn = turn;
-	}
 }

framework/src/main/java/org/toop/framework/game/games/tictactoe/BitboardTicTacToe.java

@@ -2,7 +2,6 @@ package org.toop.framework.game.games.tictactoe;
 
 import org.toop.framework.gameFramework.GameState;
 import org.toop.framework.gameFramework.model.game.PlayResult;
-import org.toop.framework.gameFramework.model.game.TurnBasedGame;
 import org.toop.framework.gameFramework.model.player.Player;
 import org.toop.framework.game.BitboardGame;
 
@@ -121,8 +120,4 @@ public class BitboardTicTacToe extends BitboardGame {
 	public long heuristicMove(long legalMoves) {
 		return legalMoves;
 	}
-
-	@Override
-	public void setFrom(long player1, long player2, int turn) {
-	}
 }

framework/src/main/java/org/toop/framework/game/players/ArtificialPlayer.java

@@ -14,9 +14,7 @@ import org.toop.framework.gameFramework.model.game.TurnBasedGame;
  */
 public class ArtificialPlayer extends AbstractPlayer {
 
-    /**
+    /** The AI instance used to calculate moves. */
-     * The AI instance used to calculate moves.
-     */
     private final AI ai;
 
     /**

framework/src/main/java/org/toop/framework/gameFramework/model/game/TurnBasedGame.java

@@ -16,6 +16,4 @@ public interface TurnBasedGame extends DeepCopyable<TurnBasedGame> {
 
 	float rateMove(long move);
 	long heuristicMove(long legalMoves);
-
-	void setFrom(long player1, long player2, int turn);
 }

game/src/main/java/org/toop/game/players/ai/MCTSAI.java

@@ -4,12 +4,9 @@ import org.toop.framework.gameFramework.model.game.TurnBasedGame;
 import org.toop.framework.gameFramework.model.player.AbstractAI;
 
 import java.util.Random;
-import java.util.concurrent.atomic.AtomicInteger;
 
 public abstract class MCTSAI extends AbstractAI {
 	protected static class Node {
-		public static final int VIRTUAL_LOSS = -1;
-
 		public TurnBasedGame state;
 
 		public long move;
@@ -18,8 +15,8 @@ public abstract class MCTSAI extends AbstractAI {
 		public Node parent;
 		public Node[] children;
 
-		public AtomicInteger value;
+		public float value;
-		public AtomicInteger visits;
+		public int visits;
 
 		public float heuristic;
 
@@ -36,8 +33,8 @@ public abstract class MCTSAI extends AbstractAI {
 			this.parent = parent;
 			this.children = new Node[Long.bitCount(legalMoves)];
 
-			this.value = new AtomicInteger(0);
+			this.value = 0.0f;
-			this.visits = new AtomicInteger(0);
+			this.visits = 0;
 
 			this.heuristic = state.rateMove(move);
 
@@ -56,14 +53,14 @@ public abstract class MCTSAI extends AbstractAI {
 			return unexpandedMoves == 0L;
 		}
 
-		public float calculateUCT(float explorationFactor) {
+		public float calculateUCT(int parentVisits) {
-			if (visits.get() == 0) {
+			if (visits == 0) {
 				return Float.POSITIVE_INFINITY;
 			}
 
-			final float exploitation = (float) value.get() / visits.get();
+			final float exploitation = value / visits;
-			final float exploration = (float)(Math.sqrt(explorationFactor / visits.get()));
+			final float exploration = (float)(Math.sqrt(Math.log(parentVisits) / visits));
-			final float bias = heuristic * 10.0f / (visits.get() + 1);
+			final float bias = heuristic * 10.0f / (visits + 1);
 
 			return exploitation + exploration + bias;
 		}
@@ -75,7 +72,7 @@ public abstract class MCTSAI extends AbstractAI {
 			float highestUCT = Float.NEGATIVE_INFINITY;
 
 			for (int i = 0; i < expanded; i++) {
-				final float childUCT = children[i].calculateUCT(2.0f * (float)Math.log(visits.get()));
+				final float childUCT = children[i].calculateUCT(visits);
 
 				if (childUCT > highestUCT) {
 					highestUCTChild = children[i];
@@ -110,40 +107,33 @@ public abstract class MCTSAI extends AbstractAI {
 	}
 
 	protected Node selection(Node root) {
-		while (Float.isNaN(root.solved) && root.isFullyExpanded() && !root.state.isTerminal()) {
+		// while (Float.isNaN(root.solved) && root.isFullyExpanded() && !root.state.isTerminal()) {
-			root.value.addAndGet(Node.VIRTUAL_LOSS);
+		while (root.isFullyExpanded() && !root.state.isTerminal()) {
-			root.visits.incrementAndGet();
-
 			root = root.bestUCTChild();
 		}
 
-		root.value.addAndGet(Node.VIRTUAL_LOSS);
-		root.visits.incrementAndGet();
-
 		return root;
 	}
 
 	protected Node expansion(Node leaf) {
-		synchronized (leaf) {
+		if (leaf.unexpandedMoves == 0L) {
-			if (leaf.unexpandedMoves == 0L) {
+			return leaf;
-				return leaf;
-			}
-
-			final long unexpandedMove = leaf.unexpandedMoves & -leaf.unexpandedMoves;
-
-			final TurnBasedGame copiedState = leaf.state.deepCopy();
-			copiedState.play(unexpandedMove);
-
-			final Node expandedChild = new Node(copiedState, leaf, unexpandedMove);
-
-			leaf.children[leaf.getExpanded()] = expandedChild;
-			leaf.unexpandedMoves &= ~unexpandedMove;
-
-			return expandedChild;
 		}
+
+		final long unexpandedMove = leaf.unexpandedMoves & -leaf.unexpandedMoves;
+
+		final TurnBasedGame copiedState = leaf.state.deepCopy();
+		copiedState.play(unexpandedMove);
+
+		final Node expandedChild = new Node(copiedState, leaf, unexpandedMove);
+
+		leaf.children[leaf.getExpanded()] = expandedChild;
+		leaf.unexpandedMoves &= ~unexpandedMove;
+
+		return expandedChild;
 	}
 
-	protected int simulation(Node leaf) {
+	protected float simulation(Node leaf) {
 		final TurnBasedGame copiedState = leaf.state.deepCopy();
 		final int playerIndex = 1 - copiedState.getCurrentTurn();
 
@@ -155,20 +145,20 @@ public abstract class MCTSAI extends AbstractAI {
 		}
 
 		if (copiedState.getWinner() == playerIndex) {
-			return 1;
+			return 1.0f;
 		}
 
 		if (copiedState.getWinner() >= 0) {
-			return -1;
+			return -1.0f;
 		}
 
-		return 0;
+		return 0.0f;
 	}
 
-	protected void backPropagation(Node leaf, int value) {
+	protected void backPropagation(Node leaf, float value) {
 		while (leaf != null) {
-			value -= Node.VIRTUAL_LOSS;
+			leaf.value += value;
-			leaf.value.addAndGet(value);
+			leaf.visits++;
 
 			if (Float.isNaN(leaf.solved)) {
 				updateSolvedStatus(leaf);
@@ -186,9 +176,9 @@ public abstract class MCTSAI extends AbstractAI {
 		int mostVisited = -1;
 
 		for (int i = 0; i < expanded; i++) {
-			if (root.children[i].visits.get() > mostVisited) {
+			if (root.children[i].visits > mostVisited) {
 				mostVisitedChild = root.children[i];
-				mostVisited = root.children[i].visits.get();
+				mostVisited = root.children[i].visits;
 			}
 		}
 

game/src/main/java/org/toop/game/players/ai/MCTSAI2.java

@@ -1,195 +0,0 @@
-package org.toop.game.players.ai;
-
-import org.toop.framework.gameFramework.model.game.TurnBasedGame;
-import org.toop.framework.gameFramework.model.player.AbstractAI;
-
-import java.util.Random;
-
-public class MCTSAI2 extends AbstractAI {
-	private static class Node {
-		public TurnBasedGame state;
-
-		public long move;
-		public long unexpandedMoves;
-
-		public Node parent;
-
-		public Node[] children;
-		public int expanded;
-
-		public float value;
-		public int visits;
-
-		public Node(TurnBasedGame state, Node parent, long move) {
-			final long legalMoves = state.getLegalMoves();
-
-			this.state = state;
-
-			this.move = move;
-			this.unexpandedMoves = legalMoves;
-
-			this.parent = parent;
-
-			this.children = new Node[Long.bitCount(legalMoves)];
-			this.expanded = 0;
-
-			this.value = 0.0f;
-			this.visits = 0;
-		}
-
-		public Node(TurnBasedGame state) {
-			this(state, null, 0L);
-		}
-
-		public boolean isFullyExpanded() {
-			return expanded == children.length;
-		}
-
-		public float calculateUCT(int parentVisits) {
-			final float exploitation = value / visits;
-			final float exploration = 1.41f * (float)(Math.sqrt(Math.log(parentVisits) / visits));
-
-			return exploitation + exploration;
-		}
-
-		public Node bestUCTChild() {
-			Node highestUCTChild = null;
-			float highestUCT = Float.NEGATIVE_INFINITY;
-
-			for (int i = 0; i < expanded; i++) {
-				final float childUCT = children[i].calculateUCT(visits);
-
-				if (childUCT > highestUCT) {
-					highestUCTChild = children[i];
-					highestUCT = childUCT;
-				}
-
-			}
-
-			return highestUCTChild;
-		}
-	}
-
-	private final Random random;
-	private final int milliseconds;
-
-	public MCTSAI2(int milliseconds) {
-		this.random = new Random();
-		this.milliseconds = milliseconds;
-	}
-
-	public MCTSAI2(MCTSAI2 other) {
-		this.random = other.random;
-		this.milliseconds = other.milliseconds;
-	}
-
-	@Override
-	public MCTSAI2 deepCopy() {
-		return new MCTSAI2(this);
-	}
-
-	@Override
-	public long getMove(TurnBasedGame game) {
-		final Node root = new Node(game, null, 0L);
-
-		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
-
-		while (System.nanoTime() < endTime) {
-			Node leaf = selection(root);
-			leaf = expansion(leaf);
-			final float value = simulation(leaf);
-			backPropagation(leaf, value);
-		}
-
-		final Node mostVisitedChild = mostVisitedChild(root);
-
-		return mostVisitedChild != null? mostVisitedChild.move : 0L;
-	}
-
-	private Node mostVisitedChild(Node root) {
-		Node mostVisitedChild = null;
-		int mostVisited = -1;
-
-		for (int i = 0; i < root.expanded; i++) {
-			if (root.children[i].visits > mostVisited) {
-				mostVisitedChild = root.children[i];
-				mostVisited = root.children[i].visits;
-			}
-		}
-
-		return mostVisitedChild;
-	}
-
-	private Node selection(Node root) {
-		while (root.isFullyExpanded() && !root.state.isTerminal()) {
-			root = root.bestUCTChild();
-		}
-
-		return root;
-	}
-
-	private Node expansion(Node leaf) {
-		if (leaf.unexpandedMoves == 0L) {
-			return leaf;
-		}
-
-		final long unexpandedMove = leaf.unexpandedMoves & -leaf.unexpandedMoves;
-
-		final TurnBasedGame copiedState = leaf.state.deepCopy();
-		copiedState.play(unexpandedMove);
-
-		final Node expandedChild = new Node(copiedState, leaf, unexpandedMove);
-
-		leaf.children[leaf.expanded] = expandedChild;
-		leaf.expanded++;
-
-		leaf.unexpandedMoves &= ~unexpandedMove;
-
-		return expandedChild;
-	}
-
-	private float simulation(Node leaf) {
-		final TurnBasedGame copiedState = leaf.state.deepCopy();
-		final int playerIndex = 1 - copiedState.getCurrentTurn();
-
-		while (!copiedState.isTerminal()) {
-			final long legalMoves = copiedState.getLegalMoves();
-			final long randomMove = randomSetBit(legalMoves);
-
-			copiedState.play(randomMove);
-		}
-
-		if (copiedState.getWinner() == playerIndex) {
-			return 1.0f;
-		} else if (copiedState.getWinner() >= 0) {
-			return -1.0f;
-		}
-
-		return 0.0f;
-	}
-
-	private void backPropagation(Node leaf, float value) {
-		while (leaf != null) {
-			leaf.value += value;
-			leaf.visits++;
-
-			value = -value;
-			leaf = leaf.parent;
-		}
-	}
-
-	private long randomSetBit(long value) {
-		if (0L == value) {
-			return 0;
-		}
-
-		final int bitCount = Long.bitCount(value);
-		final int randomBitCount = random.nextInt(bitCount);
-
-		for (int i = 0; i < randomBitCount; i++) {
-			value &= value - 1;
-		}
-
-		return value & -value;
-	}
-}

game/src/main/java/org/toop/game/players/ai/MCTSAI3.java

@@ -1,258 +0,0 @@
-package org.toop.game.players.ai;
-
-import org.toop.framework.gameFramework.model.game.TurnBasedGame;
-import org.toop.framework.gameFramework.model.player.AbstractAI;
-
-import java.util.Random;
-
-public class MCTSAI3 extends AbstractAI {
-	private static class Node {
-		public TurnBasedGame state;
-
-		public long move;
-		public long unexpandedMoves;
-
-		public Node parent;
-
-		public Node[] children;
-		public int expanded;
-
-		public float value;
-		public int visits;
-
-		public Node(TurnBasedGame state, Node parent, long move) {
-			final long legalMoves = state.getLegalMoves();
-
-			this.state = state;
-
-			this.move = move;
-			this.unexpandedMoves = legalMoves;
-
-			this.parent = parent;
-
-			this.children = new Node[Long.bitCount(legalMoves)];
-			this.expanded = 0;
-
-			this.value = 0.0f;
-			this.visits = 0;
-		}
-
-		public Node(TurnBasedGame state) {
-			this(state, null, 0L);
-		}
-
-		public boolean isFullyExpanded() {
-			return expanded == children.length;
-		}
-
-		public float calculateUCT(int parentVisits) {
-			final float exploitation = value / visits;
-			final float exploration = 1.41f * (float)(Math.sqrt(Math.log(parentVisits) / visits));
-
-			return exploitation + exploration;
-		}
-
-		public Node bestUCTChild() {
-			Node highestUCTChild = null;
-			float highestUCT = Float.NEGATIVE_INFINITY;
-
-			for (int i = 0; i < expanded; i++) {
-				final float childUCT = children[i].calculateUCT(visits);
-
-				if (childUCT > highestUCT) {
-					highestUCTChild = children[i];
-					highestUCT = childUCT;
-				}
-
-			}
-
-			return highestUCTChild;
-		}
-	}
-
-	private final Random random;
-
-	private Node root;
-	private final int milliseconds;
-
-	public MCTSAI3(int milliseconds) {
-		this.random = new Random();
-
-		this.root = null;
-		this.milliseconds = milliseconds;
-	}
-
-	public MCTSAI3(MCTSAI3 other) {
-		this.random = other.random;
-
-		this.root = other.root;
-		this.milliseconds = other.milliseconds;
-	}
-
-	@Override
-	public MCTSAI3 deepCopy() {
-		return new MCTSAI3(this);
-	}
-
-	@Override
-	public long getMove(TurnBasedGame game) {
-		detectRoot(game);
-
-		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
-
-		while (System.nanoTime() < endTime) {
-			Node leaf = selection(root);
-			leaf = expansion(leaf);
-			final float value = simulation(leaf);
-			backPropagation(leaf, value);
-		}
-
-		final Node mostVisitedChild = mostVisitedChild(root);
-		final long move = mostVisitedChild != null? mostVisitedChild.move : 0L;
-
-		newRoot(move);
-
-		return move;
-	}
-
-	private Node mostVisitedChild(Node root) {
-		Node mostVisitedChild = null;
-		int mostVisited = -1;
-
-		for (int i = 0; i < root.expanded; i++) {
-			if (root.children[i].visits > mostVisited) {
-				mostVisitedChild = root.children[i];
-				mostVisited = root.children[i].visits;
-			}
-		}
-
-		return mostVisitedChild;
-	}
-
-	private void detectRoot(TurnBasedGame game) {
-		if (root == null) {
-			root = new Node(game.deepCopy());
-			return;
-		}
-
-		final long[] currentBoards = game.getBoard();
-		final long[] rootBoards = root.state.getBoard();
-
-		boolean detected = true;
-
-		for (int i = 0; i < rootBoards.length; i++) {
-			if (rootBoards[i] != currentBoards[i]) {
-				detected = false;
-				break;
-			}
-		}
-
-		if (detected) {
-			return;
-		}
-
-		for (int i = 0; i < root.expanded; i++) {
-			final Node child = root.children[i];
-
-			final long[] childBoards = child.state.getBoard();
-
-			detected = true;
-
-			for (int j = 0; j < childBoards.length; j++) {
-				if (childBoards[j] != currentBoards[j]) {
-					detected = false;
-					break;
-				}
-			}
-
-			if (detected) {
-				root = child;
-				return;
-			}
-		}
-
-		root = new Node(game.deepCopy());
-	}
-
-	private void newRoot(long move) {
-		for (final Node child : root.children) {
-			if (child.move == move) {
-				root = child;
-				break;
-			}
-		}
-	}
-
-	private Node selection(Node root) {
-		while (root.isFullyExpanded() && !root.state.isTerminal()) {
-			root = root.bestUCTChild();
-		}
-
-		return root;
-	}
-
-	private Node expansion(Node leaf) {
-		if (leaf.unexpandedMoves == 0L) {
-			return leaf;
-		}
-
-		final long unexpandedMove = leaf.unexpandedMoves & -leaf.unexpandedMoves;
-
-		final TurnBasedGame copiedState = leaf.state.deepCopy();
-		copiedState.play(unexpandedMove);
-
-		final Node expandedChild = new Node(copiedState, leaf, unexpandedMove);
-
-		leaf.children[leaf.expanded] = expandedChild;
-		leaf.expanded++;
-
-		leaf.unexpandedMoves &= ~unexpandedMove;
-
-		return expandedChild;
-	}
-
-	private float simulation(Node leaf) {
-		final TurnBasedGame copiedState = leaf.state.deepCopy();
-		final int playerIndex = 1 - copiedState.getCurrentTurn();
-
-		while (!copiedState.isTerminal()) {
-			final long legalMoves = copiedState.getLegalMoves();
-			final long randomMove = randomSetBit(legalMoves);
-
-			copiedState.play(randomMove);
-		}
-
-		if (copiedState.getWinner() == playerIndex) {
-			return 1.0f;
-		} else if (copiedState.getWinner() >= 0) {
-			return -1.0f;
-		}
-
-		return 0.0f;
-	}
-
-	private void backPropagation(Node leaf, float value) {
-		while (leaf != null) {
-			leaf.value += value;
-			leaf.visits++;
-
-			value = -value;
-			leaf = leaf.parent;
-		}
-	}
-
-	private long randomSetBit(long value) {
-		if (0L == value) {
-			return 0;
-		}
-
-		final int bitCount = Long.bitCount(value);
-		final int randomBitCount = random.nextInt(bitCount);
-
-		for (int i = 0; i < randomBitCount; i++) {
-			value &= value - 1;
-		}
-
-		return value & -value;
-	}
-}

game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI1.java

@@ -23,14 +23,15 @@ public class MCTSAI1 extends MCTSAI {
 
 		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
 
-		while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
+		// while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
+		while (System.nanoTime() < endTime) {
 			Node leaf = selection(root);
 			leaf = expansion(leaf);
-			final int value = simulation(leaf);
+			final float value = simulation(leaf);
 			backPropagation(leaf, value);
 		}
 
-		lastIterations = root.visits.get();
+		lastIterations = root.visits;
 
 		final Node mostVisitedChild = mostVisitedChild(root);
 		return mostVisitedChild.move;

game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI2.java

@@ -29,14 +29,15 @@ public class MCTSAI2 extends MCTSAI {
 
 		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
 
-		while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
+		// while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
+		while (System.nanoTime() < endTime) {
 			Node leaf = selection(root);
 			leaf = expansion(leaf);
-			final int value = simulation(leaf);
+			final float value = simulation(leaf);
 			backPropagation(leaf, value);
 		}
 
-		lastIterations = root.visits.get();
+		lastIterations = root.visits;
 
 		final Node mostVisitedChild = mostVisitedChild(root);
 		final long move = mostVisitedChild.move;

game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI3.java

@@ -3,27 +3,26 @@ package org.toop.game.players.ai.mcts;
 import org.toop.framework.gameFramework.model.game.TurnBasedGame;
 import org.toop.game.players.ai.MCTSAI;
 
-import java.util.concurrent.CountDownLatch;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.concurrent.Callable;
 import java.util.concurrent.ExecutorService;
 import java.util.concurrent.Executors;
-import java.util.concurrent.TimeUnit;
+import java.util.concurrent.Future;
 
 public class MCTSAI3 extends MCTSAI {
 	private final int threads;
-	private final ExecutorService threadPool;
 
 	public MCTSAI3(int milliseconds, int threads) {
 		super(milliseconds);
 
 		this.threads = threads;
-		this.threadPool = Executors.newFixedThreadPool(threads);
 	}
 
 	public MCTSAI3(MCTSAI3 other) {
 		super(other);
 
 		this.threads = other.threads;
-		this.threadPool = other.threadPool;
 	}
 
 	@Override
@@ -33,27 +32,53 @@ public class MCTSAI3 extends MCTSAI {
 
 	@Override
 	public long getMove(TurnBasedGame game) {
-		final Node root = new Node(game.deepCopy(), null, 0L);
+		final ExecutorService pool = Executors.newFixedThreadPool(threads);
-
 		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
 
-		final CountDownLatch latch = new CountDownLatch(threads);
+		final List<Callable<Node>> tasks = new ArrayList<>();
 
 		for (int i = 0; i < threads; i++) {
-			threadPool.submit(() -> {
+			tasks.add(() -> {
-				try {
+				final Node localRoot = new Node(game.deepCopy());
-					iterate(root, endTime);
+
-				} finally {
+				// while (Float.isNaN(localRoot.solved) && System.nanoTime() < endTime) {
-					latch.countDown();
+				while (System.nanoTime() < endTime) {
+					Node leaf = selection(localRoot);
+					leaf = expansion(leaf);
+					final float value = simulation(leaf);
+					backPropagation(leaf, value);
 				}
+
+				return localRoot;
 			});
 		}
 
 		try {
-			final long remaining = endTime - System.nanoTime();
+			final List<Future<Node>> results = pool.invokeAll(tasks);
-			latch.await(remaining, TimeUnit.NANOSECONDS);
 
-			lastIterations = root.visits.get();
+			pool.shutdown();
+
+			final Node root = new Node(game.deepCopy());
+
+			for (int i = 0; i < root.children.length; i++) {
+				expansion(root);
+			}
+
+			for (final Future<Node> result : results) {
+				final Node localRoot = result.get();
+
+				for (final Node localChild : localRoot.children) {
+					for (int i = 0; i < root.children.length; i++) {
+						if (localChild.move == root.children[i].move) {
+							root.children[i].visits += localChild.visits;
+							root.visits += localChild.visits;
+							break;
+						}
+					}
+				}
+			}
+
+			lastIterations = root.visits;
 
 			final Node mostVisitedChild = mostVisitedChild(root);
 			return mostVisitedChild.move;
@@ -64,13 +89,4 @@ public class MCTSAI3 extends MCTSAI {
 			return randomSetBit(legalMoves);
 		}
 	}
-
-	private void iterate(Node root, long endTime) {
-		while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
-			Node leaf = selection(root);
-			leaf = expansion(leaf);
-			final int value = simulation(leaf);
-			backPropagation(leaf, value);
-		}
-	}
 }

game/src/main/java/org/toop/game/players/ai/mcts/MCTSAI4.java

@@ -3,29 +3,29 @@ package org.toop.game.players.ai.mcts;
 import org.toop.framework.gameFramework.model.game.TurnBasedGame;
 import org.toop.game.players.ai.MCTSAI;
 
-import java.util.concurrent.CountDownLatch;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.concurrent.Callable;
 import java.util.concurrent.ExecutorService;
 import java.util.concurrent.Executors;
-import java.util.concurrent.TimeUnit;
+import java.util.concurrent.Future;
 
 public class MCTSAI4 extends MCTSAI {
 	private final int threads;
-	private final ExecutorService threadPool;
+	private final Node[] threadRoots;
-
-	private Node root;
 
 	public MCTSAI4(int milliseconds, int threads) {
 		super(milliseconds);
 
 		this.threads = threads;
-		this.threadPool = Executors.newFixedThreadPool(threads);
+		this.threadRoots = new Node[threads];
 	}
 
 	public MCTSAI4(MCTSAI4 other) {
 		super(other);
 
 		this.threads = other.threads;
-		this.threadPool = other.threadPool;
+		this.threadRoots = other.threadRoots;
 	}
 
 	@Override
@@ -35,32 +35,66 @@ public class MCTSAI4 extends MCTSAI {
 
 	@Override
 	public long getMove(TurnBasedGame game) {
-		root = findOrResetRoot(root, game);
+		for (int i = 0; i < threads; i++) {
+			threadRoots[i] = findOrResetRoot(threadRoots[i], game);
+		}
 
+		final ExecutorService pool = Executors.newFixedThreadPool(threads);
 		final long endTime = System.nanoTime() + milliseconds * 1_000_000L;
 
-		final CountDownLatch latch = new CountDownLatch(threads);
+		final List<Callable<Node>> tasks = new ArrayList<>();
 
 		for (int i = 0; i < threads; i++) {
-			threadPool.submit(() -> {
+			final int threadIndex = i;
-				try {
+
-					iterate(root, endTime);
+			tasks.add(() -> {
-				} finally {
+				final Node localRoot = threadRoots[threadIndex];
-					latch.countDown();
+
+				// while (Float.isNaN(localRoot.solved) && System.nanoTime() < endTime) {
+				while (System.nanoTime() < endTime) {
+					Node leaf = selection(localRoot);
+					leaf = expansion(leaf);
+					final float value = simulation(leaf);
+					backPropagation(leaf, value);
 				}
+
+				return localRoot;
 			});
 		}
 
 		try {
-			final long remaining = endTime - System.nanoTime();
+			final List<Future<Node>> results = pool.invokeAll(tasks);
-			latch.await(remaining, TimeUnit.NANOSECONDS);
 
-			lastIterations = root.visits.get();
+			pool.shutdown();
+
+			final Node root = new Node(game.deepCopy());
+
+			for (int i = 0; i < root.children.length; i++) {
+				expansion(root);
+			}
+
+			for (final Future<Node> result : results) {
+				final Node localRoot = result.get();
+
+				for (final Node localChild : localRoot.children) {
+					for (int i = 0; i < root.children.length; i++) {
+						if (localChild.move == root.children[i].move) {
+							root.children[i].visits += localChild.visits;
+							root.visits += localChild.visits;
+							break;
+						}
+					}
+				}
+			}
+
+			lastIterations = root.visits;
 
 			final Node mostVisitedChild = mostVisitedChild(root);
 			final long move = mostVisitedChild.move;
 
-			root = findChildByMove(root, move);
+			for (int i = 0; i < threads; i++) {
+				threadRoots[i] = findChildByMove(threadRoots[i], move);
+			}
 
 			return move;
 		} catch (Exception _) {
@@ -70,13 +104,4 @@ public class MCTSAI4 extends MCTSAI {
 			return randomSetBit(legalMoves);
 		}
 	}
-
-	private void iterate(Node root, long endTime) {
-		while (Float.isNaN(root.solved) && System.nanoTime() < endTime) {
-			Node leaf = selection(root);
-			leaf = expansion(leaf);
-			final int value = simulation(leaf);
-			backPropagation(leaf, value);
-		}
-	}
 }

game/src/test/java/research/AIData.java

@@ -1,77 +0,0 @@
-package research;
-
-public class AIData {
-    public String AI;
-    public long gamesPlayed;
-    public double winrate;
-    public double averageIterations;
-    public double averageIterations10;
-    public double averageIterations20;
-    public double averageIterations30;
-
-    public AIData(String AI, long gamesPlayed, double winrate, double averageIterations, double averageIterations10, double averageIterations20, double averageIterations30) {
-        this.AI = AI;
-        this.gamesPlayed = gamesPlayed;
-        this.winrate = winrate;
-        this.averageIterations = averageIterations;
-        this.averageIterations10 = averageIterations10;
-        this.averageIterations20 = averageIterations20;
-        this.averageIterations30 = averageIterations30;
-    }
-
-    public String getAI() {
-        return AI;
-    }
-
-    public void setAI(String AI) {
-        this.AI = AI;
-    }
-
-    public long getGamesPlayed() {
-        return gamesPlayed;
-    }
-
-    public void setGamesPlayed(long gamesPlayed) {
-        this.gamesPlayed = gamesPlayed;
-    }
-
-    public double getWinrate() {
-        return winrate;
-    }
-
-    public void setWinrate(double winrate) {
-        this.winrate = winrate;
-    }
-
-    public double getAverageIterations() {
-        return averageIterations;
-    }
-
-    public void setAverageIterations(double averageIterations) {
-        this.averageIterations = averageIterations;
-    }
-
-    public double getAverageIterations10() {
-        return averageIterations10;
-    }
-
-    public void setAverageIterations10(double averageIterations10) {
-        this.averageIterations10 = averageIterations10;
-    }
-
-    public double getAverageIterations20() {
-        return averageIterations20;
-    }
-
-    public void setAverageIterations20(double averageIterations20) {
-        this.averageIterations20 = averageIterations20;
-    }
-
-    public double getAverageIterations30() {
-        return averageIterations30;
-    }
-
-    public void setAverageIterations30(double averageIterations30) {
-        this.averageIterations30 = averageIterations30;
-    }
-}

game/src/test/java/research/AITest.java

@@ -1,612 +0,0 @@
-package research;
-
-
-import org.apache.maven.surefire.shared.io.FileDeleteStrategy;
-import org.junit.jupiter.api.*;
-import org.toop.framework.game.games.reversi.BitboardReversi;
-import org.toop.framework.game.players.ArtificialPlayer;
-import org.toop.game.players.ai.MCTSAI;
-import org.toop.game.players.ai.mcts.MCTSAI1;
-import org.toop.game.players.ai.mcts.MCTSAI2;
-import org.toop.game.players.ai.mcts.MCTSAI3;
-import org.toop.game.players.ai.mcts.MCTSAI4;
-
-import java.io.BufferedReader;
-import java.io.BufferedWriter;
-import java.io.File;
-import java.io.FileReader;
-import java.io.FileWriter;
-import java.io.IOException;
-import java.math.BigDecimal;
-import java.math.RoundingMode;
-import java.nio.charset.StandardCharsets;
-import java.nio.file.Files;
-import java.nio.file.Paths;
-import java.nio.file.StandardOpenOption;
-import java.time.LocalTime;
-import java.time.format.DateTimeFormatter;
-import java.util.ArrayList;
-import java.util.List;
-
-public class AITest {
-
-    private static String fileName = "gameData.csv";
-
-    private static List<Matchup> matchupList = new ArrayList<Matchup>();
-    private static List<AIData> dataList = new ArrayList<AIData>();
-    private static List<GameData> gameDataList = new ArrayList<GameData>();
-
-    @BeforeAll
-    public static void init() {
-
-        var versions = new ArtificialPlayer[4];
-        versions[0] = new ArtificialPlayer(new MCTSAI1(10), "MCTS V1");
-        versions[1] = new ArtificialPlayer(new MCTSAI2(10), "MCTS V2");
-        versions[2] = new ArtificialPlayer(new MCTSAI3(10, 8), "MCTS V3");
-        versions[3] = new ArtificialPlayer(new MCTSAI4(10, 8), "MCTS V4");
-
-        for (int i = 0; i < versions.length; i++) {
-            for (int j = i + 1; j < versions.length; j++) {
-                final int playerIndex1 = i % versions.length;
-                final int playerIndex2 = j % versions.length;
-                addMatch(versions[playerIndex1], versions[playerIndex2]);
-                addMatch(versions[playerIndex2], versions[playerIndex1]); // home vs away system
-            }
-        }
-    }
-
-//    @BeforeAll
-//    public static void init() {
-//
-//        var versions = new ArtificialPlayer[11];
-//        versions[0] = new ArtificialPlayer(new MCTSAI3(10, 1), "MCTS V3T1");
-//        versions[1] = new ArtificialPlayer(new MCTSAI3(10, 2), "MCTS V3T2");
-//        versions[2] = new ArtificialPlayer(new MCTSAI3(10, 4), "MCTS V3T4");
-//        versions[3] = new ArtificialPlayer(new MCTSAI3(10, 8), "MCTS V3T8");
-//        versions[4] = new ArtificialPlayer(new MCTSAI3(10, 16), "MCTS V3T16");
-//        versions[5] = new ArtificialPlayer(new MCTSAI3(10, 128), "MCTS V3T32");
-//        versions[6] = new ArtificialPlayer(new MCTSAI3(10, 256), "MCTS V3T64");
-//        versions[7] = new ArtificialPlayer(new MCTSAI3(10, 128), "MCTS V3T128");
-//        versions[8] = new ArtificialPlayer(new MCTSAI3(10, 256), "MCTS V3T256");
-//        versions[9] = new ArtificialPlayer(new MCTSAI3(10, 512), "MCTS V3T512");
-//        versions[10] = new ArtificialPlayer(new MCTSAI3(10, 1024), "MCTS V3T1024");
-//
-//        for (int i = 0; i < versions.length; i++) {
-//            for (int j = i + 1; j < versions.length; j++) {
-//                final int playerIndex1 = i % versions.length;
-//                final int playerIndex2 = j % versions.length;
-//                addMatch(versions[playerIndex1], versions[playerIndex2]);
-//                addMatch(versions[playerIndex2], versions[playerIndex1]); // home vs away system
-//            }
-//        }
-//    }
-
-    public static void addMatch(ArtificialPlayer v1, ArtificialPlayer v2) {
-        matchupList.add(new Matchup(v1, v2));
-    }
-
-    public void addAIData(AIData data) {
-        dataList.add(data);
-    }
-
-    public void addGameData(GameData data) {
-        gameDataList.add(data);
-    }
-
-    @Test
-    public void testAIvsAI() {
-        while (true) {
-            for (Matchup m : matchupList) {
-                playGame(m);
-            }
-        }
-    }
-
-    public void playGame(Matchup m) {
-        long nanocounterAI1 = 0L;
-        long nanocounterAI2 = 0L;
-        List<Integer> iterationsAI1 = new ArrayList<>();
-        List<Integer> iterationsAI2 = new ArrayList<>();
-        final BitboardReversi match = new BitboardReversi();
-        ArtificialPlayer[] players = new ArtificialPlayer[2];
-        players[0] = m.getPlayer1();
-        players[1] = m.getPlayer2();
-        match.init(players);
-        while (!match.isTerminal()) {
-            final int currentAI = match.getCurrentTurn();
-            final long startTime = System.nanoTime();
-            final long move = players[currentAI].getMove(match);
-            final long endTime = System.nanoTime();
-
-            if (players[currentAI].getAi() instanceof MCTSAI) {
-                final int lastIterations = ((MCTSAI) players[currentAI].getAi()).getLastIterations();
-
-                if (currentAI == 0) {
-                    iterationsAI1.add(lastIterations);
-                    nanocounterAI1 += (endTime - startTime);
-                } else {
-                    iterationsAI2.add(lastIterations);
-                    nanocounterAI2 += (endTime - startTime);
-                }
-            }
-            match.play(move);
-        }
-        generateMatchData(m.getPlayer1().getName(), m.getPlayer2().getName(), match, iterationsAI1, iterationsAI2, nanocounterAI1, nanocounterAI2);
-    }
-
-    public void generateMatchData(
-            String AI1,
-            String AI2,
-            BitboardReversi match,
-
-            List<Integer> iterationsAI1,
-            List<Integer> iterationsAI2,
-
-            long nanocounterAI1,
-            long nanocounterAI2
-    ) {
-        try {
-
-            var ai110 = iterationsAI1.subList(0,  10);
-            var ai120 = iterationsAI1.subList(10, 20);
-            var ai130 = iterationsAI1.subList(20, iterationsAI1.size());
-
-            var ai210 = iterationsAI2.subList(0,  10);
-            var ai220 = iterationsAI2.subList(10, 20);
-            var ai230 = iterationsAI2.subList(20, iterationsAI2.size());
-
-            writeGamesToCSV(fileName, new GameData(
-                    AI1,
-                    AI2,
-                    getWinnerForMatch(AI1, AI2, match),
-                    match.getAmountOfTurns(),
-
-                    iterationsAI1.stream().mapToLong(Integer::longValue).sum(),
-                    ai110.stream().mapToLong(Integer::longValue).sum(),
-                    ai120.stream().mapToLong(Integer::longValue).sum(),
-                    ai130.stream().mapToLong(Integer::longValue).sum(),
-                    iterationsAI1.stream().mapToDouble(Integer::doubleValue).sum() / iterationsAI1.size(),
-                    ai110.stream().mapToDouble(Integer::doubleValue).sum() / ai110.size(),
-                    ai120.stream().mapToDouble(Integer::doubleValue).sum() / ai120.size(),
-                    ai130.stream().mapToDouble(Integer::doubleValue).sum() / ai130.size(),
-
-                    iterationsAI2.stream().mapToInt(Integer::intValue).sum(),
-                    ai210.stream().mapToLong(Integer::longValue).sum(),
-                    ai220.stream().mapToLong(Integer::longValue).sum(),
-                    ai230.stream().mapToLong(Integer::longValue).sum(),
-                    iterationsAI2.stream().mapToDouble(Integer::doubleValue).sum() / iterationsAI2.size(),
-                    ai210.stream().mapToDouble(Integer::doubleValue).sum() / ai210.size(),
-                    ai220.stream().mapToDouble(Integer::doubleValue).sum() / ai220.size(),
-                    ai230.stream().mapToDouble(Integer::doubleValue).sum() / ai230.size(),
-
-                    nanocounterAI1,
-                    nanocounterAI2,
-                    LocalTime.now().format(DateTimeFormatter.ofPattern("HH:mm:ss"))
-            ));
-        } catch (IOException e) {
-            throw new RuntimeException(e);
-        } catch (IndexOutOfBoundsException e) {
-            return;
-        }
-    }
-
-    public String getWinnerForMatch(String AI1, String AI2, BitboardReversi match) {
-        if (match.getWinner() == 0) {
-            return AI1;
-        }
-        if (match.getWinner() == 1) {
-            return AI2;
-        } else {
-            return "TIE";
-        }
-    }
-
-    public void generateData(Matchup matchup, BitboardReversi match, List<Integer> iterationsAI1, List<Integer> iterationsAI2) {
-        boolean matchup1Found = false;
-        boolean matchup2Found = false;
-        for (AIData aiData : dataList) {
-            if (aiData.getAI().equals(matchup.getPlayer1().getName())) {
-                matchup1Found = true;
-            } if (aiData.getAI().equals(matchup.getPlayer2().getName())) {
-                matchup2Found = true;
-            }
-        }
-        if (!(matchup1Found)) {
-            addAIData(new AIData(matchup.getPlayer1().getName(), 0, 0, 0, 0, 0, 0));
-        }
-        if (!(matchup2Found)) {
-            addAIData(new AIData(matchup.getPlayer2().getName(), 0, 0, 0, 0, 0, 0));
-        }
-
-        for (AIData aiData : dataList) { // set data for player 1
-            if (aiData.getAI().equals(matchup.getPlayer1().getName())) {
-                aiData.setGamesPlayed(aiData.getGamesPlayed() + 1);
-                aiData.setWinrate(calculateWinrate(0, aiData.getWinrate(), aiData.getGamesPlayed(), match.getWinner()));
-                aiData.setAverageIterations(calculateAverageIterations(aiData.getAverageIterations(), iterationsAI1));
-                aiData.setAverageIterations10(calculateAverageIterationsStartEnd(0, 10, aiData.getAverageIterations10(), iterationsAI1));
-                aiData.setAverageIterations20(calculateAverageIterationsStartEnd(10, 20, aiData.getAverageIterations20(), iterationsAI1));
-                aiData.setAverageIterations30(calculateAverageIterationsStartEnd(20, iterationsAI1.size(), aiData.getAverageIterations30(), iterationsAI1));
-            }
-        }
-
-        for (AIData aiData : dataList) {
-            if (aiData.getAI().equals(matchup.getPlayer2().getName())) {
-                aiData.setGamesPlayed(aiData.getGamesPlayed() + 1);
-                aiData.setWinrate(calculateWinrate(1, aiData.getWinrate(), aiData.getGamesPlayed(), match.getWinner()));
-                aiData.setAverageIterations(calculateAverageIterations(aiData.getAverageIterations(), iterationsAI2));
-                aiData.setAverageIterations10(calculateAverageIterationsStartEnd(0, 10, aiData.getAverageIterations10(), iterationsAI2));
-                aiData.setAverageIterations20(calculateAverageIterationsStartEnd(10, 20, aiData.getAverageIterations20(), iterationsAI2));
-                aiData.setAverageIterations30(calculateAverageIterationsStartEnd(20, iterationsAI2.size(), aiData.getAverageIterations30(), iterationsAI2));
-            }
-        }
-    }
-
-    public double calculateWinrate(int player, double winrate, long gamesPlayed, int winner) {
-        double result;
-        if (winner == 0 && player == 0 || winner == 1 && player == 1) {
-            return (winrate * (gamesPlayed - 1) + 1) / gamesPlayed;
-        } else if (winner == 0 && player == 1 || winner == 1 && player == 0) {
-            return (winrate * (gamesPlayed - 1) + 0) / gamesPlayed;
-        }
-        return (winrate * (gamesPlayed - 1) + 0) / gamesPlayed;
-    }
-
-    public double calculateAverageIterations(double averageIterations, List<Integer> thisGameIterations) {
-        double thisGameIterationsAverage = 0;
-        for (int iterations = 0; iterations < thisGameIterations.size(); iterations += 1) {
-            thisGameIterationsAverage += thisGameIterations.get(iterations);
-        }
-        thisGameIterationsAverage /= thisGameIterations.size();
-        return (averageIterations + thisGameIterationsAverage) / 2;
-    }
-
-    public double calculateAverageIterationsStartEnd(int start, int end, double averageIterations, List<Integer> thisGameIterations) {
-        double thisGameIterationsAverage = 0;
-        for (int iterations = start; iterations < end; iterations += 1) {
-            thisGameIterationsAverage += thisGameIterations.get(iterations);
-        }
-        thisGameIterationsAverage /= (end - start);
-        return (averageIterations + thisGameIterationsAverage) / 2;
-    }
-
-    @AfterAll
-    public static void writeAfterTests() {
-        try {
-            writeAIToCsv("Data.csv", dataList);
-        } catch (IOException e) {
-            e.printStackTrace();
-        }
-    }
-
-    public static void writeGamesToCSV(String filepath, GameData gameData) throws IOException {
-        try (
-                final BufferedWriter writer = Files.newBufferedWriter(
-                        Paths.get(filepath),
-                        StandardCharsets.UTF_8,
-                        StandardOpenOption.CREATE,
-                        StandardOpenOption.APPEND
-                );
-                final BufferedReader reader = new BufferedReader(new FileReader(filepath))
-        ) {
-            if (reader.readLine() == null || reader.readLine().isBlank()) {
-                writer.write("Black,White,Winner,Turns Played,Black total iterations,Black total iterations 0-10,Black total iterations 11-20,Black total iterations 21-30,Black average iterations,Black average iterations 0-10,Black average iterations 11-20,Black average iterations 21-30,White total iterations,White total iterations 0-10,White total iterations 11-20,White total iterations 21-30,White average iterations,White average iterations 0-10,White average iterations 11-20,White average iterations 21-30,Total Time AI1,Total Time AI2,Time");
-                writer.newLine();
-            }
-
-            writer.write(
-                    gameData.AI1() + "," +
-                    gameData.AI2() + "," +
-                    gameData.winner() + "," +
-                    gameData.turns() + "," +
-                    gameData.AI1totalIterations() + "," +
-                    gameData.AI1totalIterations10() + "," +
-                    gameData.AI1totalIterations20() + "," +
-                    gameData.AI1totalIterations30() + "," +
-                    BigDecimal.valueOf(gameData.AI1averageIterations()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI1averageIterations10()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI1averageIterations20()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI1averageIterations30()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    gameData.AI2totalIterations() + "," +
-                    gameData.AI2totalIterations10() + "," +
-                    gameData.AI2totalIterations20() + "," +
-                    gameData.AI2totalIterations30() + "," +
-                    BigDecimal.valueOf(gameData.AI2averageIterations()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI2averageIterations10()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI2averageIterations20()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    BigDecimal.valueOf(gameData.AI2averageIterations30()).setScale(2, RoundingMode.HALF_EVEN) + "," +
-                    (gameData.nanoAI1() / 1_000_000L) + "," +
-                    (gameData.nanoAI2() / 1_000_000L) + "," +
-                    gameData.time());
-            writer.newLine();
-        }
-    }
-
-    public static void writeAIToCsv(String filepath, List<AIData> dataList) throws IOException {
-        try (BufferedWriter writer = new BufferedWriter(new FileWriter(filepath))) {
-            writer.write("AI Name,Games Played,Winrate,Average Iterations,Average Iterations 0-10, Average Iterations 11-20, Average Iterations 20-30");
-            writer.newLine();
-            for (AIData data : dataList) {
-                writer.write(
-                        data.getAI() + "," +
-                                data.getGamesPlayed() + "," +
-                                data.getWinrate() + "," +
-                                Math.round(data.getAverageIterations()) + "," +
-                                Math.round(data.getAverageIterations10()) + "," +
-                                Math.round(data.getAverageIterations20()) + "," +
-                                Math.round(data.getAverageIterations30()));
-                writer.newLine();
-            }
-        }
-    }
-}
-
-//public class AITest {
-
-//    private static int games = 2;
-//
-//    @BeforeAll
-//    public static void setUp() {
-//        var versions = new ArtificialPlayer[5];
-//        versions[0] = new ArtificialPlayer(new RandomAI(), "Random AI");
-//        versions[1] = new ArtificialPlayer(new MCTSAI1(20), "MCTS V1 AI");
-//        versions[2] = new ArtificialPlayer(new org.toop.game.players.ai.mcts.MCTSAI2(20), "MCTS V2 AI");
-//        versions[3] = new ArtificialPlayer(new org.toop.game.players.ai.mcts.MCTSAI3(20, 10), "MCTS V3 AI");
-//        versions[4] = new ArtificialPlayer(new MCTSAI4(20, 10), "MCTS V4 AI");
-//
-//        for (int i = 0; i < versions.length; i++) {
-//            for (int j = i + 1; j < versions.length; j++) {
-//                final int playerIndex1 = i % versions.length;
-//                final int playerIndex2 = j % versions.length;
-//                addMatchup(versions[playerIndex1], versions[playerIndex2]);
-//            }
-//        }
-//
-//    }
-//
-//    @BeforeEach
-//    public void setUpEach() {
-//        matchupList = new ArrayList<>();
-//    }
-//
-//    @Test
-//    public void testIterationsInRealGame() {
-//        for (int i = 0; i < matchups.size(); i++) {
-//            testAIVSAI(games, getMatchup(i));
-//        }
-//    }
-//
-//
-//    private void testAIVSAI(int games, ArtificialPlayer[] ais) {
-//
-//        List<List<Integer>> gamesList = new ArrayList<>();
-//        for (int i = 0; i < games; i++) {
-//            final BitboardReversi match = new BitboardReversi();
-//            match.init(ais);
-//
-//            List<Integer> iterations1 = new ArrayList<>();
-//            List<Integer> iterations2 = new ArrayList<>();
-//
-//            while (!match.isTerminal()) {
-//                final int currentAI = match.getCurrentTurn();
-//                final long move = ais[currentAI].getMove(match);
-//                if (ais[currentAI].getAi() instanceof MCTSAI) {
-//                    final int lastIterations = ((MCTSAI) ais[currentAI].getAi()).getLastIterations();
-//                    if (currentAI == 0) {
-//                        iterations1.add(lastIterations);
-//                    } else if (currentAI == 1) {
-//                        iterations2.add(lastIterations);
-//                    }
-//                }
-//                match.play(move);
-//            }
-//            int winner = match.getWinner();
-//            iterations1.addFirst(winner);
-////            iterations1.add(-999);
-//            iterations1.addAll(iterations2);
-//
-//            gamesList.add(iterations1);
-//        }
-//        matchupList.add(gamesList);
-//    }
-//
-//    @Test
-//    public void testIterationsAtFixedMove() {
-//        for (ArtificialPlayer[] matchup : matchups) {
-//            List<List<Integer>> gamesList = new ArrayList<>();
-//            for (int j = 0; j < games; j++) {
-//                final BitboardReversi match = new BitboardReversi();
-//                match.init(matchup);
-//
-//                List<Integer> iterations = new ArrayList<>();
-//
-//                for (Long move : fixedMoveSet) {
-//                    match.play(move);
-//                    if (move == 32L) {
-//                        break;
-//                    }
-//                }
-////                iterations.add(-999);
-//                var player = matchup[match.getCurrentTurn()];
-//                for (int k = 0; k < 10; k++) {
-//                    player.getMove(match);
-//                    if (player.getAi() instanceof MCTSAI) {
-//                        iterations.add(((MCTSAI) player.getAi()).getLastIterations());
-//                    }
-//                }
-//                gamesList.add(iterations);
-//            }
-//            matchupList.add(gamesList);
-//        }
-//    }
-//
-//
-//    @Test
-//    public void testIterationsInFixedGame() {
-//        for (ArtificialPlayer[] matchup : matchups) {
-//            List<List<Integer>> gamesList = new ArrayList<>();
-//            for (int j = 0; j < games; j++) {
-//                final BitboardReversi match = new BitboardReversi();
-//                match.init(matchup);
-//
-//                List<Integer> iterations = new ArrayList<>();
-//
-//                iterations.add(-999);
-//
-//                for (Long move : fixedMoveSet) {
-//                    var player = matchup[match.getCurrentTurn()];
-//                    player.getMove(match);
-//                    if (player.getAi() instanceof MCTSAI) {
-//                        iterations.add(((MCTSAI) player.getAi()).getLastIterations());
-//                    }
-//                    match.play(move);
-//                }
-//
-//                gamesList.add(iterations);
-//            }
-//            matchupList.add(gamesList);
-//        }
-//    }
-//
-//    @AfterEach
-//    public void tearDown() {
-//        data.add(matchupList);
-//    }
-//
-//    @AfterAll
-//    public static void writeAfterTests() {
-//        try {
-//            writeToCsv("Data.csv", data);
-//        } catch (IOException e) {
-//
-//        }
-//    }
-//
-//
-//    public static void writeToCsv(String filepath, List<List<List<List<Integer>>>> data) throws IOException {
-//        try (BufferedWriter writer = new BufferedWriter(new FileWriter(filepath))) {
-//
-//            writer.write("TestID,Matchup,GameNr,Winner");
-//            for (int i = 0; i < data.size(); i++) {
-//                writer.write(",Iterations");
-//            }
-//
-//            writer.newLine();
-//
-//            for (int TestID = 0; TestID < data.size(); TestID++) {
-//                List<List<List<Integer>>> testCase = data.get(TestID);
-//
-//                for (int matchupNr = 0; matchupNr < testCase.size(); matchupNr++) {
-//                    List<List<Integer>> matchup = testCase.get(matchupNr);
-//
-//                    for (int gameNr = 0; gameNr < matchup.size(); gameNr++) {
-//                        List<Integer> game = matchup.get(gameNr);
-//                        writer.write((TestID + 1) + "," + (getMatchupName(matchupNr)) + "," + (gameNr + 1));
-//                        for (int i = 0; i < game.size(); i++) {
-//                            if (i == 0) {
-//                                writer.write("," + getWinnerFromMatchup(game.get(i), matchupNr));
-//                            } else {
-//                                writer.write("," + game.get(i));
-//                            }
-//                        }
-//                        writer.newLine();
-//                    }
-//                }
-//            }
-//        }
-//
-//    }
-//
-//
-//    private static final List<List<List<List<Integer>>>> data = new ArrayList<>();
-//    private List<List<List<Integer>>> matchupList = new ArrayList<>();
-//    private static final List<String> matchupNames = new ArrayList<>();
-//    private static final List<ArtificialPlayer[]> matchups = new ArrayList<>();
-//
-//    private static String getMatchupName(int matchupNr) {
-//        return matchupNames.get(matchupNr);
-//    }
-//
-//    private static ArtificialPlayer[] getMatchup(int matchupNr) {
-//        return matchups.get(matchupNr);
-//    }
-//
-//    private static String getWinnerFromMatchup(Integer winner, int matchupNr) {
-//        String matchup = matchupNames.get(matchupNr);
-//
-//        String[] parts = matchup.split(" vs ");
-//
-//        if (parts.length != 2) {
-//            return "Invalid matchup formatting.";
-//        }
-//
-//        return winner == 0 ? parts[0] : winner == 1 ? parts[1] : winner == -999 ? "NVT" : "Tie";
-//    }
-//
-//    private static void addMatchup(ArtificialPlayer player1, ArtificialPlayer player2) {
-//        matchups.add(new ArtificialPlayer[]{player1, player2});
-//        matchupNames.add(player1.getName() + " vs " + player2.getName());
-//    }
-//}
-
-//    private final Long[] fixedMoveSet = new Long[]{17592186044416L,
-//            35184372088832L,
-//            67108864L,
-//            8796093022208L,
-//            2251799813685248L,
-//            288230376151711744L,
-//            70368744177664L,
-//            1125899906842624L,
-//            137438953472L,
-//            140737488355328L,
-//            4503599627370496L,
-//            2305843009213693952L,
-//            18014398509481984L,
-//            274877906944L,
-//            576460752303423488L,
-//            -9223372036854775808L,
-//            549755813888L,
-//            1152921504606846976L,
-//            144115188075855872L,
-//            72057594037927936L,
-//            36028797018963968L,
-//            17179869184L,
-//            2199023255552L,
-//            1048576L,
-//            4398046511104L,
-//            281474976710656L,
-//            9007199254740992L,
-//            2147483648L,
-//            1073741824L,
-//            33554432L,
-//            262144L,
-//            8388608L,
-//            8192L,
-//            4611686018427387904L,
-//            4294967296L,
-//            524288L,
-//            4096L,
-//            16777216L,
-//            65536L,
-//            32L,
-//            2048L,
-//            8L,
-//            4L,
-//            8589934592L,
-//            16L,
-//            2097152L,
-//            4194304L,
-//            1024L,
-//            512L,
-//            16384L,
-//            536870912L,
-//            1099511627776L,
-//            64L,
-//            562949953421312L,
-//            128L,
-//            1L,
-//            32768L,
-//            2L,
-//            256L,
-//            131072L};
-// }
-

game/src/test/java/research/GameData.java

@@ -1,32 +0,0 @@
-package research;
-
-public record GameData(
-        String AI1,
-        String AI2,
-        String winner,
-        int turns,
-
-        long AI1totalIterations,
-        long AI1totalIterations10,
-        long AI1totalIterations20,
-        long AI1totalIterations30,
-        double AI1averageIterations,
-        double AI1averageIterations10,
-        double AI1averageIterations20,
-        double AI1averageIterations30,
-
-        long AI2totalIterations,
-        long AI2totalIterations10,
-        long AI2totalIterations20,
-        long AI2totalIterations30,
-        double AI2averageIterations,
-        double AI2averageIterations10,
-        double AI2averageIterations20,
-        double AI2averageIterations30,
-
-        long nanoAI1,
-        long nanoAI2,
-
-        String time
-) {}
-

game/src/test/java/research/Matchup.java

@@ -1,30 +0,0 @@
-package research;
-
-import org.toop.framework.game.players.ArtificialPlayer;
-
-import java.util.ArrayList;
-import java.util.List;
-
-public class Matchup {
-    public ArtificialPlayer player1;
-    public ArtificialPlayer player2;
-
-    public Matchup(ArtificialPlayer player1, ArtificialPlayer player2) {
-        this.player1 = player1;
-        this.player2 = player2;
-    }
-
-    public Matchup() {}
-
-    public String toString() {
-        return player1.toString() + " VS " + player2.toString();
-    }
-
-    public ArtificialPlayer getPlayer1() {
-        return player1;
-    }
-
-    public ArtificialPlayer getPlayer2() {
-        return player2;
-    }
-}