On 23 Apr 2013, at 22:26, Craig Weinberg wrote:
On Tuesday, April 23, 2013 3:58:33 PM UTC-4, Jason wrote:
On Tue, Apr 23, 2013 at 6:53 AM, Craig Weinberg <whats...@gmail.com>
wrote:
"If you think about your own vision, you can see millions of pixels
constantly, you are aware of the full picture, but a computer can't
do that, the cpu can only know about 32 or 64 pixels, eventually
multiplied by number of kernels, but it see them as single bit's so
in reality the can't be conscious of a full picture, not even of the
full color at a single pixel.
He is making the same mistake Searle did regarding the Chinese
room. He is conflating what the CPU can see at one time (analogous
to rule follower in Chinese room) with what the program can know.
Consider the program of a neural network: it can be processed by a
sequentially operating CPU processing one connection at a time, but
the simulated network itself can see any arbitrary number of inputs
at once.
How do he propose OCR software can recognize letters if it can only
see a single pixel at a time?
Who says OCR software can recognize letters? All that it needs to do
is execute some algorithm sequentially and blindly against a table
of expected values. There need not be any recognition of the
character as a character at at all, let alone any "seeing". A
program could convert a Word document into an input file for an OCR
program without there ever being any optical activity - no camera,
no screen caps, no monitor or printer at all. Completely in the
dark, the bits of the Word file could be converted into the bits of
an emulated optical scan, and presto, invisible optics.
Searle wasn't wrong. The whole point of the Chinese Room is to point
out that computation is a disconnected, anesthetic function which is
accomplished with no need for understanding of larger contexts.
Searle might be right on non-comp, but his argument has been shown
invalid by many.
Bruno
Craig
Jason
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