Brains and computers operate very differently. The biggest difference is that brains are massively parallel, with potentially millions and millions of simultaneous processes being handled.
Computers can simulate doing several things at once, but it's an illusion caused by switching between tasks very rapidly. In reality, only one block of 32 or 64 bits can be processed at any instant.
Another profound difference is that the fundamental element of a brain, a neuron, is part wire, part processor. The 'wire' is fairly digital, and transmits pulses at varying rates. The 'processor' carries out a bizarre half analogue, half digital operation.
Incoming wires from other neurons feed into the processor - thousand of incoming connections in some cases. The processor 'weights' the incoming wires according to its training. Some wires are treated as very strong stimuli; and others as strong inhibitors. Others will get lesser or greater weighting, which may be positive or negative depending on what each connection's weighting is.
If the total of all the incoming signals is positive enough, the processor will 'fire' and send a stream of pulses down its wire, with a pulse rate proportion to the total incoming signal.
It's possible to simulate neurons with a computer, in the form of an 'artificial neural network'. Much better neural nets may be made using specialised, purpose-built silicon artificial neurons, but these are expensive.
Artificial neural networks are capable of unusual processing operations, especially pattern matching, facial recognition, handwriting translation and similar highly parallel tasks.
It's fair to say that neural simulations do in fact 'think' like brains do. There are two major factors that limit the extent to which they can duplicate true brain function in depth. Firstly, even the most elaborate silicon neural nets yet made have just a few hundred thousand neural units, compared to the many millions in a brain. Second, the detailed architecture of the neural structures in brains is far from completely known. Work on this issue is proceeding, however, especially be means of deconstructing the circuitry of small animal brains, and the use of evolutionary algorithms to develop theoretical architectures for further testing.
There's little doubt that progress is being made, and that actual artificial intelligence will be developed at human level, and ultimately higher.
Some scenarios suggest that building the first true ultra-intelligent machine will be humanity's last task. After that, we can sit back on wonder what they will decide to do with us.
CD
2007-03-07 14:45:04
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answer #1
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answered by Super Atheist 7
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In principle both the cerebral cortex and the computer function in the same manner. That is, information is first compressed, secondly analyzed, and thirdly it is organized to accomplish a task or stored for later retrieval. The similarities end here however. In terms of organization and complexity when compared the computer makes only a feeble attempt to scratch the surface, while the cerebral structure reaches unimaginable depths. Computers are only useful to the human race because they are quick to respond when confronted with a mathematical problem. Semiconductors a solely responsible for the usefulness of computers, and in this respect, computers hold the only edge over the human brain. As a closing argument, neither computers think like human beings, nor the inverse. This is perhaps a morbid question; nevertheless, I wonder how a computer made of semiconductors would compare to a human brain if such a computer were a mirror image(at least structurally) to that particular brain.
2007-03-07 10:35:32
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answer #2
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answered by Dr. Chapatin 2
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Because we program our computers with the same sort of logic that we use ourselves, I believe that we may be actually creating a digital reflection of our own mental processes. When Bayesian logic systems and fuzzy logic systems are used in AI, I think they really start to reflect similar mental processes to humans. Aferall the Apple doesn't far too far from the tree. As far as whether our biology will be retained if we at some time merge with computers, as some futurists have proposed in an event called the singularity, I would imagine that it would be a process similar to evolution, where as our technology advances, we would lose more and more of our Carbon based biology and be made up more of computer components.
2007-03-07 10:17:45
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answer #3
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answered by l m 3
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Yes i like computer
2016-01-18 21:59:53
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answer #4
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answered by luz 2
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We think based on analog technology not digital. Nature is analog, we are analog. Curves, hills, waves, trees, grass, clouds, movement is analog. Computers think in digital terms, on or off, Plus or Minus, yes or no. Total logic in binary terms.
I prefer the round, fading in and out, fuzzy, blending of things.....even if it means I don't think as fast. We as humans take more into consideration because of being able to observe the abstract and the analog.
Wow - enough of that philosophic stuff - I need a scotch on the rocks.
2007-03-07 08:25:49
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answer #5
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answered by cappy 3
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Yes
2016-01-22 15:37:32
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answer #6
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answered by Vi 2
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On a Mac, shift/control/3 takes a picture of the screen. If you press shift/control/4, you can click and drag over the area you want; the picture is taken when you release the mouse button.
2016-03-28 22:45:25
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answer #7
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answered by ? 4
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no we dont think like computers because computers do not have the natural instincts that humans do.
2007-03-07 16:13:29
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answer #8
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answered by Ashley 1
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No we don't and computers don't think they just execute a list of instructions we give them called programs.
2007-03-07 09:38:24
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answer #9
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answered by Gene 7
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No, nor do they think. At this point they are just real fancy and fast calculators, and data manipulators.
2007-03-07 08:23:02
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answer #10
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answered by Anonymous
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