Translations:Codex: AI Systems/12/en

That is not to say a neural network cannot be changed, however. Every network has a certain amount of plasticity, which enables learning. By the time an A.I.-G has finished its initial growth period, much of the network is relatively fixed- much as an organic's childhood has cemented parts of his or her personality and beliefs in place; some areas of the network, however, are left free-floating, able to quickly realign to facilitate changes like new memories and experiences, to add data on the fly, and to process these additions into new learned behaviors. The more ‘core’ a part of an A.I.-G's programming is, the more difficult that part of the network is to change or modify. It could even be said that certain intelligences become stuck in their ways after a time.