The Bayesian Brain Hypothesis and Multiple Models

The speaker discusses the Bayesian brain hypothesis, highlighting the importance of priors and the role of models in knowledge formation. They emphasize that knowledge is probabilistic and based on assumptions, with conclusions being conditioned on both observations and models. The speaker suggests that there are multiple models in the brain, each describing different aspects of information. They propose that the brain uses a network of models to tackle problems by reasoning through analogy. The focus is on constructing a brain-like system with multiple interacting models to explore the Bayesian brain hypothesis further.