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Pardon, I think I just have a broader definition than you do. I consider Brain Simulators to fall firmly the rubric of AI. It's just that they're trying to ta
by knodi123 12y ago
Pardon, I think I just have a broader definition than you do. I consider Brain Simulators to fall firmly the rubric of AI. It's just that they're trying to take a single step instead of lunging straight for the goal.
Computer vision for one is investing effort into understanding how the human brain deciphers and classifies shapes. But my understanding is at the "Popular Science" level, not at the "Journal Of Neuroscience" level.
- p1esk 12y agoThe problem with brain simulators is that people who write them are typically neuroscientists, who are not interested in building AI. They just want their simulation to produce similar neuron behaviors to what their sensors record. Their simulations are at such a low level that even if the results produced by the simulation are identical to the real signals, it's just as hard to understand what's going on on the higher level as when looking at the real signals. Also, those low level simulations are so computationally intensive, that you can forget about simulating any interesting high-level behavior in a reasonable time frame. Moreover, many of the simulated low level details might not be relevant or necessary for intelligence. People in AI would benefit from a good theory of how brain works, unfortunately, initiatives like Blue Brain Project have not produced such a theory (at least not yet).