There is an idea that the predictions made by physicists in quantum mechanics are from circular reasoning and already in their premises...
By running a computer programme "absolutely dynamic systems" with bias to "uncommon ground" you will by default build up restrictions (or limits) in what common ground COULD be.
The more interactions the programme runs through, the more it will generate imaginary walls around any common ground it MIGHT have navigated.
Like if you HAVE to change your game-plan or strategy EVERY move you make in Chess; you will increasingly restrict what common ground COULD have been conserved from one game-plan to the next.
As this process goes on the computer APPEARS to become "more conscious" of what it COULD have done in other game-plans as these options dissapear. The computer defines its lost options only when they are gone. The computer has a kind of memory of the ordered series of its moves encoded into the closing down of options?
An idea about a dynamic learning system (impromptu recalling idea from para 115 of a post once at another forum)
I once described a system how I thought the human brain might operate like:
Start with one item meets one item: result: "A" now has a history: 1.A; 2.A met B.
Now A with 1,2 history meets C.
History of A now is: 1.A; 2.A met B; 3. (A; then A met B) met C.
Eventually a complex history is built up. The idea is when complex A meets complex R say; with both complex A and complex R being very complicated objects:
complex A can look throughout itself and find familiar looking simpler patterns and complex patterns and combination patterns; with elements drawn from many different levels of its history; to map patterns of data incoming from complex R.
This multi-level pattern-matching by searching libraries and sub-libraries and sub-sub-libraries for suitable way to map incoming information looks similar to the windows system on a computer.