Answer
See the explanation
Work Step by Step
To achieve the desired behavior in the artificial neural network described, you need to adjust the weights and thresholds accordingly. Specifically, you can set the weights connecting the input nodes to the output node to be equal and opposite in sign, and adjust the threshold of the output node accordingly. This way, when both inputs are the same (0 or 1), the sum of the weighted inputs will exceed the threshold, causing the output to be 1. Conversely, when the inputs are different, the sum will not exceed the threshold, resulting in an output of 0.
