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diff --git a/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel b/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel
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index 000000000..7fbc8c765
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+++ b/examples/examples-adaptive/src/main/resources/org/onap/policy/apex/examples/adaptive/model/mvel/AutoLearnDecideTask3TaskLogic.mvel
@@ -0,0 +1,40 @@
+/*
+ * ============LICENSE_START=======================================================
+ * Copyright (C) 2016-2018 Ericsson. All rights reserved.
+ * ================================================================================
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ *
+ * SPDX-License-Identifier: Apache-2.0
+ * ============LICENSE_END=========================================================
+ */
+logger.debug("AutoLearnDecideTask3: inFields:" + inFields);
+java.util.Random rand = new java.util.Random(System.currentTimeMillis());
+double MIN = -100.0;
+double MAX = 100.0;
+double WANT = 50.0;
+
+double inval = (Double)(inFields["MonitoredValue"]);
+double ret = inval;
+///////////////
+double diff = rand.nextGaussian()*((MAX - WANT) / 50.0);
+///////////////
+ret = inval + diff;
+if (ret > MAX)
+ ret = MAX;
+if (ret<MIN)
+ ret = MIN;
+
+outFields["MonitoredValue"] = ret;
+outFields["LastMonitoredValue"] = inval;
+logger.debug("AutoLearnDecideTask3: outFields:" + outFields);
+return true;