Choices
In an artificial neural network, every neuron chosen has certain parameters or weights and biases associated with every feature. So decision making is basically dependent on the weights that we assign to the different parameters and the assigned biases. The weights are adjusted as we move through the back propagation so that the loss is minimized. This is also the way in which a rational choice happens. All our decisions are based on certain evaluation criteria or factors. We already have inherent biases that influence that decision making process. The weights are adjusted according to our perception or analysis of the situation often driven by our ego or emotional conditions. We rationalize our decisions. So in effect there is nothing black and white. Its all shades of gray that we operate with. The world is a complex maze of choices that operate within the realms of gray of varying degree. In choosing our partners to choosing the political party to choosing the religion or for that...