AI Neural Network

So I've officially started the AI NeuralNetwork class. It all seems to make sense in my head based on the design of it but it will no doubt expand as we discover small cases where our needs redefine our designs. So far the NeuralNetwork is (meant to be) a container for the knowledge and memories of an AI brain. It also calculates and manipulates policies inside a PolicyMemory class which it uses to form the output. Essentially it is a wrapper around PolicyMemory since PolicyMemory just gives raw access to the neural network, it doesn't do any of the processing between the Brain and the data itself which is what the NeuralNetwork class will do (i.e. search for rules, filter, extract, update conditionally, etc.; all that ugly stuff we want to abstract.)