Bayesian Epistemology

Bayesian epistemology is a framework for understanding how we update our beliefs in light of new evidence. It uses Bayes' theorem, which describes how to calculate the probability of a hypothesis being true based on prior knowledge and new information. In the context of epistemic logic, it helps analyze how beliefs change and how knowledge is structured. In scientific progress, it illustrates how theories evolve over time as new data emerges. Essentially, Bayesian epistemology provides a formal way to reason about uncertainty, refine our knowledge, and make informed decisions in various domains, including science and philosophy.