diff --git a/src/main/java/org/cobweb/cobweb2/impl/ai/LinearWeightsController.java b/src/main/java/org/cobweb/cobweb2/impl/ai/LinearWeightsController.java
index 9c120b3..b8fd8d5 100644
--- a/src/main/java/org/cobweb/cobweb2/impl/ai/LinearWeightsController.java
+++ b/src/main/java/org/cobweb/cobweb2/impl/ai/LinearWeightsController.java
@@ -76,12 +76,21 @@ public void mutate(float adjustmentStrength) {
 				for (int v = 0; v < inputs.length; v++) {
 					// variables with stronger inputs are adjusted more
 					double strength = adjustmentStrength * Math.abs(inputs[v]);
-					data[v][eq] += simulator.getRandom().nextGaussian() * strength;
+					double x = data[v][eq] + simulator.getRandom().nextGaussian() * strength;
+					data[v][eq] = limitOutput(x);
 				}
 			}
 		}
 	}
 
+	// Do not allow values to reach infinity.
+	// The limit is arbitrary, probably big enough for any values users would have used in the past
+	private static double OUTPUT_VALUE_MAX = 100000;
+	private static final double limitOutput(double value) {
+		value = Math.max(-OUTPUT_VALUE_MAX, Math.min(OUTPUT_VALUE_MAX, value));
+		return value;
+	}
+
 
 	@Override
 	public void controlAgent(Agent theAgent, ControllerListener inputCallback) {
@@ -126,8 +135,9 @@ public void controlAgent(Agent theAgent, ControllerListener inputCallback) {
 		for (int eq = 0; eq < LinearWeightsControllerParams.OUTPUT_COUNT; eq++) {
 			double res = 0.0;
 			for (int v = 0; v < variables.length; v++) {
-				res += data[v][eq] * variables[v];
+				res += data[v][eq] * variables[v];
 			}
+			res = limitOutput(res);
 
 			if (eq == 0)
 				memout = res;