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• Re:
People that "play God" will fail. If that is their motivation, I do not view them as valid scientists.
Also, I'm aware of neurogensis in the hippocampus (main associative memory center). Such neurogensis is (in a more complex way) more or less like adding a memory chip to a computer. Any neurogensis elsewhere is the same principle: hardware upgrade. WHen it occurs, the brain is well prepared for it. Infact, for such growth to occur, the brain has to assemble other cells to prepare for it. For instance, without prepared glial cells. the new neuron will not properly mature. It is simply a hardware upgrade. The complex part is understanding how and what it's "upgrading." Nevertheless, their outputs are also specifically setup and do not change once set. Rewiring means that it changes once it is setup the first time. In this case, the term your looking for is not rewiring. You're talking about integration. The brain DOES integrate new nerves just like a computer DOES integrate new hardware (assuming the hardware has the matching software and is compatible). In the brain, compatability is autmatic since other cells make sure the neurogensis operates properly. So, once again, the does NOT rewire, it DOES integrate new "hardware."
Artificial intelligence was concieved after the creation of computers. People thought about the idea of computers becoming intelligent due to their ability to perform complex tasks like calculations, which is something only humans can due to an equally as high (but typically less accurate) extent. It was not conceived until the digital era arose. Artificial may mean fake, but in this context, AI is mainly targeted at digital systems, which are already capable of the complex calculations (inherently) performed by the neurons. To use another means to create AI, aside from genetics (which would be more like real intelligence than digital AI since it uses real biology), would more than likely be more difficult. We may not be very close to acheiving it digitally, but we definitely are closer digitally than by any other means aside from genetics. Regardless, the term AI was conceptualized after the advent of computers when people consider the ides of COMPUTERS becoming intelligent, not gentically altered cells, or some other system contrived in a lab. Computers started the field, therefore, that is where it should remain. The whole original point was to make computers smart, since it already seemed possible based on their current abilities.
As far as self-awareness, that's a whole different subject of its own. My personal view of self-awareness is that it is not emergent. It is a global function of all sub neural nets working together in a a harmonius system known as the brain. If it were emergent, that would be synonymous to a neuron having a required threshold before it fires. Until it has reached that threshold, it is not self-aware in any way. However, animals are self-aware, but not as self-aware as us. I believe it's a function of the brain that doesn't reside in a single network, but comes from a collection of associated networks with memory being a foremost requirement aside from self-realization. As far as how to create self-awareness, with my definition, any neural system has soma self-awareness when paired or associated with one or several more neural systems. It may not be anywhere near as aware as us or as an animal, but the networks due notice each other, just like we notice thoughts and senses from different areas of our mind.
Either way, AI was ORIGINALLY conceptualized as a computer system capable of human-like thinking. Due to other sciences, it has spread into other conceivable areas. I'm not saying your ideas are wrong, but I will say the brain is not free-form. Each with neurogensis, the brain can't just throw in a neuron without preparing for it, just like a computer can't work with a new piece of hardware without the proper software to set it up and tell it what to do with it. The brain integrates, not rewires. Axonal connections never change. They may increase or decrease in volume, but they do not change position. If the brain were free-form, then chaos theory would have the most validity when attempting to understand the brain. Instead, the brain is actually more systematic than a computer. The brain and computers have a lot of similarities, which is why AI was conceived after computers. However, the brain is more systematic, sophisticate, adpatable (and/or programmable), complex, hard-wired network of cells that compute with more power than a supercomputer, than any computer on this planet today. That is why scientists attempt to have computers approxiamate it, but are nowhere near human level AI. The best we could probably approxiamate with accuracy is the nematode worm because scientists have an exact blueprint of their neural structure. SO no matter what methodology one uses to acheive AI, it isn't going to be human level anytime soon unless another Albert Einstein walks into the field of AI, or unless a miraculous and unexpected breakthrough occurs.
The Intellector
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