Final answer:
Yes, work has been done applying Bayesian epistemology to the 'no miracles' argument for scientific realism.
Step-by-step explanation:
A Bayesian approach to the 'no miracles' argument for scientific realism has been explored by philosophers. Bayesian epistemology focuses on updating and revising beliefs based on new evidence. In the context of the 'no miracles' argument, Bayesian epistemology can be applied to assess the probability of scientific theories being true based on their success in explaining and predicting phenomena.
For example, if a scientific theory has consistently made accurate predictions and has been supported by a wide range of evidence, Bayesian reasoning would assign a higher probability to the theory being true.
However, it is important to note that the 'no miracles' argument does not rely solely on Bayesian epistemology. It also considers the argument that the success of scientific theories in explaining the world is evidence for their truth.