Joined: Oct. 2012
I went through what else I had online to help explain. I have one below for showing the typical David Heiserman type circuitry from his book “How to Build Your Own Self-Programming Robot”:
I keep the next one for Spark 2 to show an insect based cognitive system. Note the sensory to the left that includes internal state variables and preprocessing, into mushroom body RAM that connects to motors. Above that is the central complex and what they called a decision layer, in the ID model that is the confidence circuitry.
Since a genome is also a self-learning system (with sensing into memory that controls molecular motor systems) it’s following what the cognitive sciences and robotics has for drawing out the circuit you have. Here’s a good example of what cell sensory looks like when similarly drawn:
You could just draw metabolic pathways like that to left, with the DNA-RAM (genes) in the center, then to the right the motors (molecular system that causes change in action or produce forces that do work inside the cell).
For molecular intelligence, the guess part of the circuit is mysterious, but still relatively straightforward. There is just not much known about how transpositions and other guess producing mechanisms work. But it’s then being at the forefront of that knowledge, having already established the circuit to make sense of what it is for, in the circuit.
Where the circuit is further morphed to include Arnold Trehub’s model for the human brain (that works well for chemotaxis too) we get the newest illustration to show the full intelligent causation model.
A cell biologist ends up on the same page with what’s happening in other science fields for drawing out circuits, and what's at Planet Source Code where that concept was already taken to the level of Theory of Intelligent Design. The reason others have no problem with that, is because it is in fact a darn good all-purpose cognitive model, that works so good it can cover intelligent causation too.
The theory of intelligent design holds that certain features of the universe and of living things are best explained by an intelligent cause, not an undirected process such as natural selection.