[Total Meltdown]

Actually, I believe this is by definition a Neural network. It receives inputs to it's input nodes, and then yes, through a series of weights, determines what Output nodes to trigger.That's how it learns to walk - it experiments until it learns how to move accurately, and then experiments until it learns how to move intelligently. When I get a minute I'll upload the demo of the environment for you. It still needs some work to keep a balance and have the life survive, but an older form of the simulation actually acted extremely intelligently. They began to shrink in size to concerve food, so one food particle lasted them a long time, and then even became Multi-cellular organisms (colonies of single-celled organisms that moved and behaved together). In this case, their input nodes were determined by how much food was around. For the purposes of this robot, we'll have an input node for each sensor it can read, one (or more, SubQuantum will be able to decide better) neuron for the Camera, and then 20-30 neurons in between, leading to the 5-6 output neurons, which control "forward", "Backward", "Left", "Right", "Turret Up", "Turret Down", and probably others.

If possible, I'll make it output the network activity to a laptop so we can actually see the neurons, where they are relative to each other, and what it's brain is doing, exactly.

...I'd really like to make the robot operate entirely autonomously for the entire match... but I doubt that'll happen. It's possible though...