Unit Brain Structure

Topic: Programming, AI

Brain: noun the brain as the center of thought, understanding, etc.; mind; intellect.

While this is not the first definition that is thought about when one thinks about the brain, I just wanted to make clear that this is what I intend by the word in the following discussion.

Earlier, I spoke about my personal research into artificial intelligence, and now I would like to speak more about the "brains" behind this.

As I mentioned before, the Demeter Project focuses on creating AI testing environments, as well as the AI themselves. These Units of AI quite obviously need some sort of brain; an area of code where they can come up with answers to questions, debate which action should be conducted next, etc. We humans have our actual biological brain which allows us to think and make decisions based on the environment around us.

So now we need to define a brain for our Unit; the brain itself will have the symbol [X], where X is the name of our Unit (Azure's brain would be denoted [Azure]). So let me propose the following definition for [X]:
[X] = ($, Π, δ, Γ)

Ah, Greek letters, the international symbols to denote pretentiousness. Indeed, the only reason I added Greek letters to my system was because it looked cooler. But each of these letters and symbols mean something, which I will now define.

$ stands for the Unit's Reasoning Module, and is currently the only (partially-)implemented part of the brain. This allows the Unit to make decisions based on its environment and come to conclusions such as "the robin is a bird, so it flies" or "a human has 'cheveux'". It can also come up to conclusions such as "this thing has fur, four legs and it meows, so it is probably a cat".

Π refers to the Unit's Memory Management Module (MMM), which would record the "important" events which occurred in the past. I put "important" between quotes because that is one of the biggest challenges about machine memory; we humans have a memory capacity which would roughly be equal to 2.5 million gigabytes, roughly the equivalent of 300 years of video content. So obviously, it is (so far) impossible to store this kind of data on a computer, so what do we "filter out" and what do we "leave in"? If we leave in too much, will the AI become "terminally nostalgic"? All unanswered questions.

δ and Γ both refer to the Decision Module of the Unit's brain, and would be responsible of communicating with $ and Π to make decisions based on input from the environment. δ more specifically refers to what I like to call the Frontal Lobe of the unit. When this module is active, it would be akin to a "thought process" in a human being.

I haven't delved too much into Γ, and there is a good reason for it; it is still extremely vague in my mind, and perhaps the only part of the brain implementation which would be tightly-coupled with the implementation of a body. Γ is called the Subconscious Brain, and would be responsible for every decision which would not need to be "thought" about. For example, suppose you have a Unit which wants to go from point A to point B. Let us suppose that this decision has been made by δ. Now, we do not want δ to be occupied with the actual task of moving the Unit's legs (wheels, w/e): we want δ to learn paths, memorize locations, sounds, images. It will be Γ's task to do all the "subconscious" moves; when you're walking, you don't think about your legs, or which muscles you need to use in order to walk. This is what would probably be the most complicated part of the Unit's brain.

Anyway, I think I have said enough today about the brain's structure. Please tell me what you think in the comments. Until then, stay cool!
-Snowman