Comment: Re:It's not just specialization, there is also fea (Score 1) 236
Aha! here's the issue. Searle specifically does not take that claim as axiomatic in the argument proper. From page 422 of Behavioral and Brain Sciences Vol 3 No. 3:
What a pointless thing to argue. In the 1980 paper, he does indeed spend a great deal of time defending the proposition -- he doesn't provide the formal argument everyone is familiar with until later (1990), where it is indeed taken as axiomatic. However, as early as 1983 Searle writes "2. Syntax is not sufficient for semantics. That proposition is a conceptual truth. It just articulates our distinction between the notion of what is purely formal and what has content." from Minds, Brains, and Science pp. 28-41
So, yes, I stand by my assertion that the illustration is indeed a waste of time to argue about -- all that matters to the argument is the proposition.
We get semantics from the visual system because the visual system provides a mental state (the sign) that corresponds with or represents something in the real world (the signified).
To the computer, there is no "real world" there is no distinction between data pulled into memory from a video camera or a stack of Hollerith cards nor from data already in memory or data being gathered at the time it's accessed -- there is no distinction. The computer is just manipulating meaningless symbols (and even that's a stretch, as the computer can't make such a distinction!) Meaningless symbols in relation to one another are
Even given relationships between the symbols (as you would expect from a program at a particular level of description), all you manage is a syntactic relationship! I hate to use this example, but it's the best I can think of right now: Given a chinese-chinese dictionary, you have very clear relationships between the various symbols, from which you can't ascribe meaning. The best you could hope to come up with is a grammar -- which is still purely syntactic.
The temptation to define semantics comes from incorrectly attributing the semantics extrinsically attributed as being intrinsic to the program at a particular level of description. Chalmers uses this confusion to argue that "sub symbolic computation" is not subject to Searle's Chinese Room argument. (He does not deny the premise in question outright)
Chalmers assumes that the function of a program is objective and that it applies to all levels of description of the program. This is wrong. Any interpretation of the function of a program, like the inputs passed to it, are extrinsically applied. What a program does is a matter of interpretation, there is way to objectively determine what a program is intended to do. Obviously, merely changing the level of description in no way affects the program.
[ Chalmers denies that subsymbolic computation applies to "real-world" implementations of programs (which have immediately identifiable lower levels of description, for example, in hardware) as the individual constituents of the higher level symbols are operated upon as a group and can be interpreted as distinct (they are still atomic). His mistake, of course, is that the same applies to any subsymbolic computational system as can be seen from the initial higher level description of the program. ]
Of course, no level of description of a program or symbol set is privilaged above another. Symbols are only atomic as they apply to a particular level of description. However, Chalmers assumes a different level of description for the symbols and the program as to discriminate the internal representation of the symbols in the lower-level description of the program with the description of the symbols in a higher level description of the program.
At the lower level Chalmers uses, the program manipulates a different set of symbols even though groups of those lower-level symbols can be interpreted as being identical as the programs are computationally identical (they're the same program, after all).
In short, Chalmers identifies the extrinsically applied semantics of the initial higher-level description as relationships between the symbols at a lower-level of description. It's a mistake, as the semantics are indeed NOT intrinsic or derived -- they're still just as extrinsic as before!
Not the clearest, but I hope that helps.
Finally, I'll just point out you still haven't explained why neurons can cause a capacity for Chinese (or if you don't like the language examples, calculus, or baseball, or music.
The alternative is to posit a non-physical explanation. Searle doesn't deny that brains cause minds -- he only argues that what brains do to cause minds can not be computation alone. I don't have the answer, and neither does anyone else. I suspect that the answer will not come from philosophy or neuroscience, but from physics as a necessary consequence of some undiscovered bit of reality.