- Reorganized the constructors in Move.java.

- Made the getBoardState method in Referee.java static.
- Created NeuralNetworkPlayer.java, though I don't know how to make the computer use it.
- Updated the Player interface to include passing the PlayerModel. Most of the current com agents ignore the data, but it is now available.
- Updated the train function in PlayerModel.java.

src/model/comPlayer/MonteCarloComPlayer.java

@@ -3,19 +3,24 @@ package model.comPlayer;
 import java.util.Random;
 
 import model.Board;
+import model.Board.TileColor;
 import model.CellPointer;
 import model.Move;
-import model.Board.TileColor;
-
+import model.playerModel.PlayerModel;
 
 public class MonteCarloComPlayer implements Player {
 	private final Random rand = new Random();
 
 	@Override
-	public Move getMove(Board board) {
-		return getRandomMove(board,true);
+	public void denyMove() {
+		throw new UnsupportedOperationException("Not implemented");
 	}
-	
+
+	@Override
+	public Move getMove(Board board, PlayerModel player) {
+		return getRandomMove(board, true);
+	}
+
 	public Move getRandomMove(Board board, boolean isCompTurn) {
 		TileColor tile = TileColor.BLUE;
 		int r = -1;
@@ -42,19 +47,14 @@ public class MonteCarloComPlayer implements Player {
 			tile = TileColor.YELLOW;
 		}
 
-		return new Move(new CellPointer(r, c), tile);
-	}
-
-	@Override
-	public void denyMove() {
-		throw new UnsupportedOperationException("Not implemented");
+		return new Move(tile, new CellPointer(r, c));
 	}
 
 	@Override
 	public boolean isReady() {
 		return true; // always ready to play a random valid move
 	}
-	
+
 	@Override
 	public String toString() {
 		return "Monte Carlo ComPlayer";