# The Predictive Mind chapters 2 and 3 **Opening (not a real abstract):** Prediction error minimization Unconscious Bayesian perceptual inference is an attractive way to begin to deal with the problem of perception. Inference is needed to overcome the brain’s encapsulation in the skull, and to account for phenomena such as binocular rivalry. It can withstand some initial worries that it may be too intellectualist, and it can be harnessed in a hierarchical structure of causal inference of regularities at different time scales. If the levels of this hierarchy somehow engage in prolific bottom-up and top-down message passing, then it can begin to capture otherwise elusive aspects of the phenomenology of perceptual experience. All these elements were discussed in the previous chapter, and they allow us to be more concrete in addressing the problem of perception. In this chapter **Authors:** [[Hohwy]]