This presentation explores the intersection of Bayesian reasoning and epistemology, proposing Bayes’ Theorem as foundational framework for understanding truth in a probabilistic context.
We explore how updating our beliefs when we get new evidence can give us a more flexible and realistic way of understanding knowledge. By thinking of probability as a way to measure how Bayesian reasoning helps us make better decision when we’re not completely sure.