- I created a ComboPlayer.java agent. It sucks and doesn't really work, but I created it. Now I'm putting it down to work on other things.

src/model/playerModel/PlayerModel.java

@@ -134,6 +134,10 @@ public class PlayerModel implements Serializable {
 
 	public Node[] getOutputNodes(boolean[] input) {
 		if (input.length == inputNode.length) {
+			for (int i = 0; i < input.length; i++) {
+				inputNode[i].setStimulation(input[i]);
+			}
+
 			return outputNode;
 		}
 
@@ -203,12 +207,13 @@ public class PlayerModel implements Serializable {
 		}
 	}
 
-	public void train(boolean[] boardState, boolean[] example) {
-		getOutputNodes(boardState);
+	public void train(boolean[] example) {
+		boolean[] hold = getOutputActivations();
 
+		System.out.println("TRAIN");
 		if (example.length == outputNode.length) {
 			for (int i = 0; i < outputNode.length; i++) {
-				outputNode[i].learn(example[i]);
+				outputNode[i].learn(example[i] == hold[i]);
 			}
 		}
 	}
@@ -216,4 +221,14 @@ public class PlayerModel implements Serializable {
 	private int getHighScore() {
 		return getHighScores()[0];
 	}
+
+	private boolean[] getOutputActivations() {
+		boolean[] acts = new boolean[outputNode.length];
+
+		for (int i = 0; i < acts.length; i++) {
+			acts[i] = outputNode[i].axon();
+		}
+
+		return acts;
+	}
 }

src/model/playerModel/node/SigmoidNode.java

@@ -9,7 +9,7 @@ public class SigmoidNode implements Node {
 	private static final long serialVersionUID = 1L;
 
 	// Training rate.
-	private final double A = .15;
+	private final double A = .05;
 
 	private final Hashtable<Node, Double> dendrites = new Hashtable<Node, Double>();
 
@@ -36,6 +36,8 @@ public class SigmoidNode implements Node {
 				n.learn(correct);
 			}
 		}
+
+		System.out.println(strength());
 	}
 
 	@Override