truc fonctionnel mais avec un retouchage dans l'API. dsl

javaAPI/.~lock.arena_results.csv#

@@ -0,0 +1 @@
+,vaisse,salle235-12,06.02.2026 11:29,file:///export/home/an23/vaisse/.config/libreoffice/4;

javaAPI/arena_results.csv

@@ -0,0 +1,7 @@
+Bot 1, Bot 2, Winner
+RandomBot,MiniMaxBot,WIN
+RandomBot,HeuristicBot,WIN
+RandomBot,MonteCarloBot,WIN
+MiniMaxBot,HeuristicBot,WIN
+MiniMaxBot,MonteCarloBot,WIN
+HeuristicBot,MonteCarloBot,WIN

javaAPI/fr/iut_fbleau/GameAPI/AbstractGamePlayer.java

@@ -26,5 +26,6 @@ public abstract class AbstractGamePlayer {
      * @throws IllegalStateException if the Situation is already in the bookmarks
      */
     public abstract AbstractPly giveYourMove(IBoard p);
+    public abstract Boolean jesuisMinimax();
 
 }

javaAPI/fr/iut_fbleau/HexGame/Arena.java

@@ -0,0 +1,64 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.*;
+
+import java.io.FileWriter;
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.EnumMap;
+import java.util.List;
+
+public class Arena {
+
+    private List<AbstractGamePlayer> bots = new ArrayList<>();
+    private FileWriter csvWriter;
+    private int board_size;
+
+    public Arena(int size) {
+        try {
+            csvWriter = new FileWriter("arena_results.csv");
+            csvWriter.append("Bot 1, Bot 2, Winner\n");
+            this.board_size = size;
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+
+    public void addBot(AbstractGamePlayer bot) {
+        bots.add(bot);
+    }
+
+    public void run() {
+        for (int i = 0; i < bots.size(); i++) {
+            for (int j = i + 1; j < bots.size(); j++) {
+                AbstractGamePlayer bot1 = bots.get(i);
+                AbstractGamePlayer bot2 = bots.get(j);
+
+                System.out.println("Running match: " + bot1.getClass().getSimpleName() + " vs " + bot2.getClass().getSimpleName());
+                Result result = playMatch(bot1, bot2);
+
+                try {
+                    csvWriter.append(bot1.getClass().getSimpleName() + "," + bot2.getClass().getSimpleName() + "," + result + "\n");
+                } catch (IOException e) {
+                    e.printStackTrace();
+                }
+            }
+        }
+
+        try {
+            csvWriter.close();
+        } catch (IOException e) {
+            e.printStackTrace();
+        }
+    }
+
+    private Result playMatch(AbstractGamePlayer bot1, AbstractGamePlayer bot2) {
+        IBoard board = new HexBoard(this.board_size);
+        EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
+        players.put(Player.PLAYER1, bot1);
+        players.put(Player.PLAYER2, bot2);
+
+        Simulation simulation = new Simulation(board, players);
+        return simulation.runForArena();
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/ArenaMain.java

@@ -0,0 +1,19 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.Player;
+
+public class ArenaMain {
+    public static void main(String[] args) {
+        int size = 7;
+        if (args.length >= 1) {
+            try { size = Integer.parseInt(args[0]); } catch (NumberFormatException ignored) {}
+        }
+        Arena arena = new Arena(size);
+        arena.addBot(new RandomBot(Player.PLAYER1, 24015L));  // Correct constructor usage
+        arena.addBot(new MiniMaxBot(Player.PLAYER2));
+        arena.addBot(new HeuristicBot(Player.PLAYER1));
+        arena.addBot(new MonteCarloBot(Player.PLAYER2));  // Correct constructor usage
+
+        arena.run();
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/HeuristicBot.java

@@ -0,0 +1,53 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.*;
+
+public class HeuristicBot extends AbstractGamePlayer {
+
+    public HeuristicBot(Player me) {
+        super(me);  // Correct constructor usage
+    }
+
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
+    @Override
+    public AbstractPly giveYourMove(IBoard board) {
+        HexBoard hb = (HexBoard) board;
+        float bestScore = -Float.MAX_VALUE;
+        HexPly bestMove = null;
+
+        for (int i = 0; i < hb.getSize(); i++) {
+            for (int j = 0; j < hb.getSize(); j++) {
+                HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
+                if (hb.isLegal(move)) {
+                    hb.doPly(move);
+                    float score = evaluateBoard(hb);
+                    if (score > bestScore) {
+                        bestScore = score;
+                        bestMove = move;
+                    }
+                    hb.undoPly();
+                }
+            }
+        }
+        return bestMove;
+    }
+
+    private float evaluateBoard(HexBoard board) {
+        int size = board.getSize();
+        int center = size / 2;
+        float score = 0;
+        //HexBoard simBoard = (HexBoard) board.safeCopy();
+
+        for (int i = 0; i < size; i++) {
+            for (int j = 0; j < size; j++) {
+                if (board.getCellPlayer(i, j) == Player.PLAYER1) {
+                    score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
+                }
+            }
+        }
+        return score;
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/HexMain.java

@@ -1,7 +1,6 @@
 package fr.iut_fbleau.HexGame;
 
 import fr.iut_fbleau.GameAPI.*;
-
 import java.util.EnumMap;
 import java.util.Scanner;
 
@@ -19,12 +18,19 @@ public class HexMain {
         HexBoard board = new HexBoard(size);
 
         Scanner sc = new Scanner(System.in);
+        Result res;
         EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
         players.put(Player.PLAYER1, new HumanConsolePlayer(Player.PLAYER1, sc));
         players.put(Player.PLAYER2, new HumanConsolePlayer(Player.PLAYER2, sc));
 
-        AbstractGame game = new AbstractGame(board, players) {};
-        Result res = game.run();
+
+        if (args.length>=2 && args[1].equals("autoplay")) {
+            Simulation sim = new Simulation(board, players);
+            res = sim.run(); 
+        } else {
+            AbstractGame game = new AbstractGame(board, players) {};
+            res = game.run();
+        }
 
         System.out.println(board);
         System.out.println("Résultat (du point de vue de PLAYER1) : " + res);

javaAPI/fr/iut_fbleau/HexGame/HexSimMain.java

@@ -15,6 +15,19 @@ import java.util.Random;
  *   java fr.iut_fbleau.HexGame.HexSimMain
  *   java fr.iut_fbleau.HexGame.HexSimMain --games 10000 --size 7 --seed 123
  *   java fr.iut_fbleau.HexGame.HexSimMain --games 5000 --size 11 --csv results.csv
+ * 
+ * À seed identique, la suite de nombres
+ * pseudo-aléatoires générée est identique, donc les bots "aléatoires" joueront les mêmes coups
+ * dans le même ordre (tant que le code et l'ordre des appels à Random ne changent pas).</p>
+ *
+ * Intérêt :
+ *
+ * Reproductibilité</b> : relancer exactement la même simulation pour déboguer / analyser.</li>
+ * Comparaison équitable</b> : comparer 2 bots sur les mêmes tirages aléatoires.</li>
+ * Si aucun seed n'est fourni, on utilise généralement l'heure courante, ce qui rend chaque exécution différente.</p>
+ *
+ * long seed;
+ * 
  */
 public class HexSimMain {
 
@@ -170,7 +183,7 @@ public class HexSimMain {
                     // ex: "7 10000"
                     if (isInt(s)) {
                         int v = Integer.parseInt(s);
-                        if (a.size == 7) a.size = v;
+                        if (a.size == 11) a.size = v;
                         else a.games = v;
                     } else {
                         System.err.println("Unknown arg: " + s);

javaAPI/fr/iut_fbleau/HexGame/HumanConsolePlayer.java

@@ -18,6 +18,10 @@ public class HumanConsolePlayer extends AbstractGamePlayer {
         this.in = in;
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     @Override
     public AbstractPly giveYourMove(IBoard board) {
         if (!(board instanceof HexBoard)) {

javaAPI/fr/iut_fbleau/HexGame/MiniMaxBot.java

@@ -0,0 +1,93 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.*;
+
+public class MiniMaxBot extends AbstractGamePlayer {
+
+    private int MAXDEPTH = 5;
+
+    public MiniMaxBot(Player me) {
+        super(me);  // Correct constructor usage
+    }
+
+    public Boolean jesuisMinimax(){
+        return true;
+    }
+
+    @Override
+    public AbstractPly giveYourMove(IBoard board) {
+        HexBoard hb = (HexBoard) board;
+        float bestScore = -Float.MAX_VALUE;
+        HexPly bestMove = null;
+
+        for (int i = 0; i < hb.getSize(); i++) {
+            for (int j = 0; j < hb.getSize(); j++) {
+                HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
+                if (hb.isLegal(move)) {
+                    hb.doPly(move);
+                    float score = minimax(hb, MAXDEPTH, -Float.MAX_VALUE, Float.MAX_VALUE, true);
+                    if (score > bestScore) {
+                        bestScore = score;
+                        bestMove = move;
+                    }
+                    hb.undoPly();
+                }
+            }
+        }
+        return bestMove;
+    }
+
+    private float minimax(HexBoard board, int depth, float alpha, float beta, boolean isMaximizing) {
+        if (depth == 0 || board.isGameOver()) {
+            return evaluateBoard(board);
+        }
+
+        if (isMaximizing) {
+            float bestScore = -Float.MAX_VALUE;
+            for (int i = 0; i < board.getSize(); i++) {
+                for (int j = 0; j < board.getSize(); j++) {
+                    HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
+                    if (board.isLegal(move)) {
+                        board.doPly(move);
+                        float score = minimax(board, depth - 1, alpha, beta, false);
+                        bestScore = Math.max(bestScore, score);
+                        alpha = Math.max(alpha, bestScore);
+                        if (beta <= alpha) break; // Pruning
+                        board.undoPly();
+                    }
+                }
+            }
+            return bestScore;
+        } else {
+            float bestScore = Float.MAX_VALUE;
+            for (int i = 0; i < board.getSize(); i++) {
+                for (int j = 0; j < board.getSize(); j++) {
+                    HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
+                    if (board.isLegal(move)) {
+                        board.doPly(move);
+                        float score = minimax(board, depth - 1, alpha, beta, true);
+                        bestScore = Math.min(bestScore, score);
+                        beta = Math.min(beta, bestScore);
+                        if (beta <= alpha) break; // Pruning
+                        board.undoPly();
+                    }
+                }
+            }
+            return bestScore;
+        }
+    }
+
+    private float evaluateBoard(HexBoard board) {
+        int size = board.getSize();
+        int center = size / 2;
+        int score = 0;
+        for (int i = 0; i < size; i++) {
+            for (int j = 0; j < size; j++) {
+                if (board.getCellPlayer(i, j) == Player.PLAYER1) {
+                    score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
+                }
+            }
+        }
+        return score;
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/MonteCarloBot.java

@@ -0,0 +1,63 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.*;
+
+import java.util.Random;
+
+public class MonteCarloBot extends AbstractGamePlayer {
+
+    private static final int SIMULATION_COUNT = 1000;
+
+    public MonteCarloBot(Player me) {
+        super(me);  // Correct constructor usage
+    }
+
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
+    @Override
+    public AbstractPly giveYourMove(IBoard board) {
+        HexBoard hb = (HexBoard) board;
+        float bestScore = -Float.MAX_VALUE;
+        HexPly bestMove = null;
+
+        for (int i = 0; i < hb.getSize(); i++) {
+            for (int j = 0; j < hb.getSize(); j++) {
+                HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
+                if (hb.isLegal(move)) {
+                    hb.doPly(move);
+                    float score = monteCarloSimulation(hb);
+                    if (score > bestScore) {
+                        bestScore = score;
+                        bestMove = move;
+                    }
+                    hb.undoPly();
+                }
+            }
+        }
+        return bestMove;
+    }
+
+    private float monteCarloSimulation(HexBoard board) {
+        RandomBot simBot = new RandomBot(Player.PLAYER1, new Random().nextLong());
+        HexBoard simBoard = (HexBoard) board.safeCopy();
+        int wins = 0;
+        int simulations = 0;
+
+        for (int i = 0; i < SIMULATION_COUNT; i++) {
+            while (!simBoard.isGameOver()) {
+                AbstractPly move = simBot.giveYourMove(simBoard);
+                simBoard.doPly(move);
+            }
+
+            if (simBoard.getResult() == Result.WIN) {
+                wins++;
+            }
+            simulations++;
+            simBoard = (HexBoard) board.safeCopy(); // Reset the board for the next simulation
+        }
+
+        return (float) wins / simulations;
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/RandomBot.java

@@ -10,9 +10,6 @@ import java.util.Iterator;
 import java.util.List;
 import java.util.Random;
 
-/**
- * Bot non intelligent : joue un coup légal au hasard.
- */
 public class RandomBot extends AbstractGamePlayer {
 
     private final Random rng;
@@ -22,13 +19,16 @@ public class RandomBot extends AbstractGamePlayer {
         this.rng = rng;
     }
 
+    public Boolean jesuisMinimax(){
+        return false;
+    }
+
     public RandomBot(Player me, long seed) {
         this(me, new Random(seed));
     }
 
     @Override
     public AbstractPly giveYourMove(IBoard board) {
-        // On récupère tous les coups légaux via l'itérateur fourni par le plateau.
         List<AbstractPly> legal = new ArrayList<>();
         Iterator<AbstractPly> it = board.iterator();
         while (it.hasNext()) {

javaAPI/fr/iut_fbleau/HexGame/Simulation.java

@@ -0,0 +1,293 @@
+package fr.iut_fbleau.HexGame;
+
+import fr.iut_fbleau.GameAPI.*;
+import java.util.EnumMap;
+import java.util.LinkedList;
+import java.util.Random;
+
+
+public class Simulation extends AbstractGame {
+
+    //ATTRIBUTS
+    private HexPly bestmove;
+    private float bestoutcome;
+    private int MAXDEPTH = 9;
+    private int EVALDEPTH = 10;
+    private LinkedList<Integer[]> taken = new LinkedList<Integer[]>();
+
+    //ATTRIBUTS QUE JE NE VOUDRAIS PAS CRÉER IDÉALEMENT
+    private IBoard simCurrentBoard;
+    private EnumMap<Player, AbstractGamePlayer> simmapPlayers;
+
+    //CONSTRUCTEUR
+    public Simulation(IBoard b, EnumMap<Player,AbstractGamePlayer> m){
+        super(b, m);
+        simCurrentBoard = b;
+        simmapPlayers = m;
+    }
+
+    //METHODES
+    /*Le jeu de Hex ne peut jamais finir avec le résultat null. En utilisant cette propriété, on peut avoir cet algorithme simplifié du monte-carlo*/
+    private float MonteCarlo(HexBoard position, Player current){
+        RandomBot simplay = new RandomBot(current, new Random().nextLong());
+        HexBoard simpos = position; 
+        LinkedList<Integer[]> ctaken = taken;
+        HexPly testmove;
+        float wins = 0;
+        float losses = 0;
+        int count = 0;
+        for(int i=0; i<EVALDEPTH; i++){
+            while(!simpos.isGameOver()){
+                count++;
+                testmove = (HexPly) simplay.giveYourMove(simpos);
+                if(!ctaken.contains(new Integer[]{testmove.getRow(), testmove.getCol()}) && simpos.isLegal(testmove)){
+                    ctaken.add(new Integer[]{testmove.getRow(), testmove.getCol()});
+                    simpos.doPly(testmove);
+                    if(simpos.getResult()==Result.LOSS){
+                        losses++;
+                    } else if(simpos.getResult()==Result.WIN){
+                        wins++;
+                    }
+                }
+            }
+            //System.out.println("count:"+count);
+            for (int j=0; j<count; j++) {
+                simpos.undoPly();
+            }
+            ctaken = taken;
+            count = 0;
+        }
+        //System.out.println("    wins : "+wins+"/losses : "+losses);
+        //System.out.println("    eval : "+(wins-losses)/EVALDEPTH);
+        return (wins-losses)/EVALDEPTH;
+    }
+
+    private float explMAX(HexBoard position, int depth){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER1);
+        } else {
+                float bestcase = -1.0f;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MAX New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER1, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMIN(position, depth+1);  
+                                        if (val >= bestcase) {
+                                                //System.out.println("     MAX new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                        }
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }
+
+
+    private float explMIN(HexBoard position, int depth){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER2);
+        } else {
+                float bestcase = 1.0f;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MIN New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER2, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMAX(position, depth+1);  
+                                        if (val <= bestcase) {
+                                                //System.out.println("     MIN new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                        }
+                                        
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }
+
+        private float explMAXAB(HexBoard position, int depth, float A, float B){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER1);
+        } else {
+                float bestcase = A;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MAX New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER1, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMINAB(position, depth+1, bestcase, B);  
+                                        if (val >= bestcase) {
+                                                //System.out.println("     MAX new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                                if(bestcase>=B){
+                                                    return bestcase;
+                                                }
+                                        }
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }
+    private float explMINAB(HexBoard position, int depth, float A, float B){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER2);
+        } else {
+                float bestcase = B;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MIN New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER2, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMAXAB(position, depth+1, A, bestcase);  
+                                        if (val <= bestcase) {
+                                                //System.out.println("     MIN new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                                if(bestcase<=A){
+                                                    return bestcase;
+                                                }
+                                        }
+                                        
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }  
+
+
+    private AbstractPly GiveBestMove(IBoard board) {
+        if (!(board instanceof HexBoard)) {
+            throw new IllegalArgumentException("Ce joueur attend un HexBoard.");
+        }
+        HexBoard hb = (HexBoard) board;
+        float bestcase;
+        if(hb.getCurrentPlayer()==Player.PLAYER1){
+            bestcase = explMAXAB(hb, 0, -1.0f, 1.0f);
+        } else {
+            bestcase = explMINAB(hb, 0, -1.0f, 1.0f);
+        }
+        return this.bestmove;
+    }
+
+    @Override
+    public Result run(){
+        while(!simCurrentBoard.isGameOver()) {
+            AbstractGamePlayer player = simmapPlayers.get(simCurrentBoard.getCurrentPlayer());
+            IBoard board = simCurrentBoard.safeCopy();
+            AbstractPly ply = GiveBestMove(board);
+            HexPly concretePly = (HexPly) ply;
+
+            if (simCurrentBoard.isLegal(ply)) {
+                simCurrentBoard.doPly(ply);
+                taken.add(new Integer[]{concretePly.getRow(), concretePly.getCol()});
+                System.out.println("Player "+player+" goes ("+concretePly.getRow()+","+concretePly.getCol()+")");
+            }
+            else throw new IllegalStateException("Player "+ player + " is a bloody cheat. He tried playing : "+concretePly.getRow()+","+concretePly.getCol()+" I give up.");
+        }
+	    return simCurrentBoard.getResult();
+    }
+
+    public Result runForArena(){
+        while(!simCurrentBoard.isGameOver()){
+            AbstractGamePlayer player = simmapPlayers.get(simCurrentBoard.getCurrentPlayer());
+            IBoard board = simCurrentBoard.safeCopy();
+            AbstractPly ply;
+            if(player.jesuisMinimax()){
+                ply = GiveBestMove(board);
+            } else {
+                ply = player.giveYourMove(board);
+            }
+            HexPly concretePly = (HexPly) ply;
+
+            if (simCurrentBoard.isLegal(ply)) {
+                simCurrentBoard.doPly(ply);
+                taken.add(new Integer[]{concretePly.getRow(), concretePly.getCol()});
+                System.out.println("Player "+player+" goes ("+concretePly.getRow()+","+concretePly.getCol()+")");
+            }
+            else throw new IllegalStateException("Player "+ player + " is a bloody cheat. He tried playing : "+concretePly.getRow()+","+concretePly.getCol()+" I give up.");
+        }
+        return simCurrentBoard.getResult();
+    }
+
+    
+}