There are only 2 kinds of intelligence in the brain: unsupervised (neocortex) and supervised (cerebellum). Both are dependent on precise timing and characterised by their striking structural uniformity. Reasoning is a sensorimotor process, no different in principle than walking.
AI is an open question, but human mind surely uses multiple learning and reasoning mechanisms, responsive to different kinds of problems, with distinct circuitry. A universal glue may be required to connect distinct mechanisms, but there is no silver bullet.https://twitter.com/rebelscience/status/961590741490319360 …
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Also all sensors do one thing: convert stimuli into precisely timed spikes. The job of intelligence is to find the temporal order in the spikes and use it to achieve various goals. Processing signals from the retina is no different than processing auditory or tactile signals.
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Digital Mental Models can be the universal glue: has highest form of abstraction, cover all fields, share layers of structures that can be universal (eg philosophy) or to specific fields(eg neuroscience), can generate new mental models on its own.
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The Mental Model Network(MMN) serves as the Framework, ML/DNN as the Instantiation. Framework/ Instantiation creates a positive feedback loop reinforcing each other. Framework focuses on common sense and reasoning, while Instantiation on observation and discovery.
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Syncretism is a worthy next step. ‘Universal glue’ implicitly has a negotiate/decision role along the chain of perceptions and inferences, so is a hidden homunculus. But it’s design may be considered independently. There are so many pieces to fit together in working systems!
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The ‘distinct circuitry’ assumption is remarkably untrue in much emotion processing, as opposed to other perceptual/cognitive tasks. If one takes the AI task as a drill down into how humans do their lives, that may end up telling us something important.
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Path of least resistance?
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