Re: Cell Intelligence in Physiological & Morphological Spaces
Posted: Mon Nov 11, 2024 8:04 pm
I don't know. I'm doubtful that this can be accomplished in a direct way - in the sense of first learning how to do it in the simulation and then translating it to biology. Simply because the simulation doesn't even try to mimic NPSOC.Federica wrote: ↑Mon Nov 11, 2024 6:04 pm Do you think there is any possiblility that the idea of DG specifically could help ML obtain opportunistic material breakthroughs (to exagerate for clarity: like cracking the code of how to regrow human anatomy)? I guess your answer should be no, otherwise it would mean that the algorithmic model with this feature would be (in the blind, but still) indirectly consistent with the NPSOC insight?
In order not to be wholly criticizing, here's how theoretically we can extend the experiment toward truer NPSOC. For example, we can make a hybrid sorting algorithm that switches between two algotypes. Imagine that this switching happens randomly, through a computational pseudo-random generator that produces uniform distribution. Even though it is called 'random', it is in fact still an integral part of the Turing machine and produces the numbers fully deterministically. However, we can tap into a source of external randomness, some quantum event, for example, emission of an electron - if the electron is spin-up, the first algotype is chosen, if it is spin-down - the second.
Now imagine that we place certain dead cells that break the normal (fully computational algorithm). In other words, the algorithm can't circumvent the barrier it faces. We as humans may analyze and say "If this random generator could have a bias toward the first algotype, it would be able to sort the list. It fails only because on average it gives an equal chance to each of the algotypes, but with these particular constraints, this doesn't work. Yet if the generator could consistently choose the first algotype more often, it would be able to circumvent the barrier. This, however, doesn't happen because the generator is designed to be uniform."
Let's fantasize then, that if we plug the quantum event generator instead of the computational pseudo-random, the algorithm completes the sort. This means that there must have been more spin-down results, in order to select the first algotype more often and avoid the problem resulting from equal application. In order to eliminate simple bias, we swap the two algotypes. Now let's imagine that the sorting works again. This would mean that there must be now more spin-up results. 'Something' bends the probabilities such that a certain computational result is achieved. Now if this could happen it would be a spectacular result! This would be a much truer example of what ML tries to communicate. This would indeed mean that a different scale of cognition has been coupled to the system, which basically acts like "If I steer these quantum events more in this direction, the computational part will give a more interesting result."
This is a heavily fictional example but it aims to show that the rigid Turing machine needs to be open toward other aspects of Nature if it is to have truly emergent behavior. In such a case we can in full correctness say that the Turing machine does something that cannot be explained entirely through the application of the rigid rules of computation.
For example, the PEAR project tried to test whether human intents can steer true random generators (and not pseudo-random generators, which would imply the ability to meaningfully augment the workings of entire computational systems). I am personally not sure whether PEAR's results are accurate (it seems they haven't been replicated). As we have said many times, such manipulation of the external physical nature is in fact the most difficult and remote in relation to our living spiritual activity which presently reflects most clearly in the steering of the holistic neural activity. But is nevertheless conceivable. My point was only to show that to influence a computational system (electric or marble), we need a way to 'jailbreak' it, and allow it to interface with processes that can potentially be more conductive to spiritual intents.
So back to your question, maybe an insight about regeneration could come while working on such matters but I doubt that the insight can come as a direct result of a purely computational simulation.