Adding perturbations is a common technique in machine learning. For example, the evolution strategies approach [https://blog.openai.com/evolution-strategies/ ht

Adding perturbations is a common technique in machine learning. For example, the evolution strategies approach [https://blog.openai.com/evolution-strategies/ https://blog.openai.com/evolution-strategies/] makes 100s of randomly tweaked policies, evaluates them against the task, and recombines them with weights proportional to their performance. Another approach is to train several different neural networks (an ensemble) on a task, and then train a final neural network based on the average of the ensemble. [https://arxiv.org/pdf/1503.02531v1.pdf https://arxiv.org/pdf/1503.02531v1.pdf] So you can probably replicate the useful features of flawed copying between humans.