- Implemented multiple users, including a selection dialog and automatic preference saving and loading.

- Integrated the ANN with the game. The network now predicts a user move, completely ignores it, and trains itself on the players actual move. This integration also included implementing two new functions. The first translates a board state to a boolean array to correspond with input nodes. The second translates a move to a boolean array to correspond with output nodes.

test/puzzleTests/Tests.java

@@ -14,7 +14,7 @@ import model.playerModel.PlayerModel;
 public class Tests extends TestCase {
 
 	public static PlayerModel getFakePlayerModel() {
-		PlayerModel pm = new PlayerModel();
+		PlayerModel pm = new PlayerModel("marshall");
 
 		pm.logGame(25);
 		pm.logGame(30);