> when the brain, as far as we know, is emergent behavior from many little things coordinating, not architected I wouldn't characterize it like that ... The br

> when the brain, as far as we know, is emergent behavior from many little things coordinating, not architected I wouldn't characterize it like that ... The brain has a specific learning architecture / dynamics that has been created via evolution under selection pressure to learn (i.e predict outcomes) better. As a product of evolution I wouldn't want to call it "architected" or a top-down design, but for the time being it's the only example we have of such a successful learning system so it would make sense to copy what evolution has done, which means copying how it works on all levels. A simpler example is convolutional neural nets for vision which were explicitly designed to simplistically mimic some of the behavior of our visual system with it's multi-layer (V1, V2, etc) architecture and local learning rules. Sure there's emergent behavior occurring when data is fed into such a system (both brain's visual system or CNN), such as the pattern detectors we see emerge at lowest level, but this emergent behavior is a result of the overall architecture.