Joined: Oct. 2012
I can add that it’s not necessary to reinvent an existing model. It’s how the circuit is drawn out that is most important. The “set-points” of metabolic pathways that can induce transposition or hypermutation belong up top in its Hedonic System as a confidence level hooked up to a guess block for that type of guess. Information from conjugation may end up in a plasmid/chromosome RAM, where the data can include data that inactivates the gene data, or increases expression level. What you end up with for circuit diagram(s) is then comparable to others sorted out to show the self-learning intelligence system existing in the system being modeled.
For molecular intelligence you end up having to include 3D address changing (as opposed to data changing) transposition guesses in a genome memory system. Exactly how to draw that in might require some experimentation, but there are already methods for illustrating metabolic pathway circuits. You don’t have to reinvent the wheel, just be the first to most neatly draw out the circuits including transposition and other things that in any model is hard to show in cognitive model circuit form. You here in turn end up helping to pioneer standard methods needed for systems biology.
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.