In the realm of artificial intelligence (AI), overfitting is a common pitfall. It occurs when a model learns too well from the training data, to the point where it starts to pick up on noise and outliers rather than the underlying pattern. This results in poor performance when the model encounters new, unseen data. Interestingly, this concept of overfitting can be paralleled in human behavior and cognition. Consider a highly intelligent individual placed in a new, unfamiliar situation. Their ...