- PlayerModel.java now returns the full array of output nodes instead of just their activation states. This exposes their strengths.

src/model/Referee.java

@@ -22,7 +22,7 @@ public class Referee implements Runnable {
 
 	private Board board;
 	private BoardPanel boardPanel;
-	private Player computerPlayer;
+	private final Player computerPlayer;
 
 	private final HumanPlayer humanPlayer = new HumanPlayer();
 	private final MainFrame mf;
@@ -181,7 +181,7 @@ public class Referee implements Runnable {
 				// Some changes will probably be necessary to put it in the
 				// right place and also to get the node weights. But... all in
 				// due time.
-				getPlayerModel().getPrediction(getBoardState());
+				getPlayerModel().getOutputNodes(getBoardState());
 			}
 
 			mf.updateMessage(getMessage());

src/model/playerModel/PlayerModel.java

@@ -132,19 +132,9 @@ public class PlayerModel implements Serializable {
 		return outputNode.length;
 	}
 
-	public boolean[] getPrediction(boolean[] input) {
+	public Node[] getOutputNodes(boolean[] input) {
 		if (input.length == inputNode.length) {
-			boolean[] prediction = new boolean[outputNode.length];
+			return outputNode;
-
-			for (int i = 0; i < input.length; i++) {
-				inputNode[i].setStimulation(input[i]);
-			}
-
-			for (int i = 0; i < prediction.length; i++) {
-				prediction[i] = outputNode[i].axon();
-			}
-
-			return prediction;
 		}
 
 		return null;