PSL300H1 Lecture Notes - Lecture 22: Posterior Probability, Bayes Estimator
Document Summary
Expectations affect what humans see information comes from the senses, but it also combines with previous information and then the brain deduces what is going on. The brains use expectations to interpret ambiguous sensor data. E. g. , - the brain expects light to come from above, and when it interprets ambiguous images, it will keep that assumption until contradictory evidence proves otherwise. The brain handles data and assumptions in an optimal way the perceptions match those predicted base on the rules of bayesian inference it"s not perfect, but it"s as good as it can be. Nothing is certain, so given any possible event a that may be going on in the word, the best to hope for is to deduce. E. g. , flipping a coin n = 2 (2 possible events can happen) E. g. , tossing a fair die n = 6 ( 6 numbers) and.
