The words ‘computer’ and ‘computing’ are both vague and very broad. Even some of those involved in the field of artificial intelligence (AI) believe that molecules are computers. Or, more precisely, they argue that molecules are “closed physical systems” which compute. That is, molecules carry out “information processing”. Or, alternatively, they receive input, “work” on that input, and then produce/deliver output. Indeed consider this representation of the DNA molecule as a Turing machine:
tape = DNA Head = ribosome state register = RNA states = amino acid instruction table = DNA codon table output tape = proteins
(A distinction has to be made here between seeing the DNA molecule as a computer and the possible use of biochemical materials — such as DNA — as ‘hardware’ for computers. See here.)
This position on omnipresent computation reaches its zenith with what’s called pancomputationalism. This is the view of digital physics which says that the entire evolution of the universe is (or has been) a computation. That may mean (to some) that God Himself is a computer scientist or programmer.
Again and again it seems to come back to the broadness or vagueness of the word ‘computation’. One way this can be put is to admit that in certain ways (or senses) the mind-brain is indeed a computer or that it does carry out computations. However, all sorts of philosophers have argued that computation isn’t definitive of mind: it’s not even important to being a mind. Or, it may be important, though only in the sense that, as Hilary Putnam put it, “every ordinary open system realizes every abstract finite automaton” (1991).
“[T]he wall behind my back is right now implementing the WordStar program, because there is some pattern of molecule movements that is isomorphic with the formal structure of WordStar. But if the wall is implementing WordStar, if it is a big enough wall it is implementing any program, including any program implemented in the brain.” (1992)
Elsewhere Searle also writes:
“[T]he window in front of me is a very simple computer. Window open = 1, window closed = 0. That is, if we accept Turing’s definition according to which anything to which you can assign a 0 and a 1 is a computer, then the window is a simple and trivial computer.” (1997)
Of course what can be said here is that there are certain things that computers (or Turing machines) do which Searle’s wall (or window) doesn’t do. That’s true; though there are also indefinitely many things things that the mind-brain does which computers can’t do. However, that doesn’t seem to stop people claiming that the mind-brain is a Turing machine or a computer. Indeed a brain-mind doesn’t need to be exactly like the computer on your desk in order to be a computer. We’re not talking about literal identity here.
In any case, when some people say,
“The brain is a Turing machine.”
many of them may mean:
The mind-brain sometimes — and in some ways — behaves like a Turing machine.
Of course I said “some people”. That means that other people believe that the human brain is literally a Turing machine or computer.
To put some more meat on the qualified claim that “brains behave like Turning machines”. This amounts to saying that some higher-level processing done by brains parallels — to some extent — what Turing machines do. The problem with that is such higher-level processing may also have some similarities with what goes in a cell or even in a inorganic/inanimate system. Indeed the brain’s own neurons process input in ways similar to a Turing machine.
The crunch question would therefore be whether or not mind-brains and Turning machines are alike when it comes to processing abstract and highly complex cognitive tasks.
Modelling Physical Systems
Where does the idea that the brain is a computer (or Turing machine) come from? I believe it mainly comes from the following.
Firstly, there’s a strong link which is made between brains, mathematical models and Turing machines. When taken together (or sequentially) we get the idea that the brain is a Turing machine. This (very roughly) is the argument:
i) Once we have mathematically described all the workings (or processes) of the brain ii) then a Turing machine can model the brain.
Some go so far as to say that “mathematics is synonymous with computation”. And through maths/computation, we can model all of reality (or each bit separately). Thus a Turing machine can model and compute the whole of physical reality…. including the brain.
Workers in artificial intelligence (AI) are keen to tell us that physicists have created accurate models of all aspects of physical reality (including at the quantum level). All these models are essentially (sometimes only) mathematical in nature. Thus it’s only one step on from there to say that they’re also computable.
So we’re talking about models of physical reality.
More accurately, we’re talking about mathematical models of physical reality. These models, by definition, will be computable.
Thus brains, being part of physical reality, can be mathematically modelled. Therefore brains themselves are computable. They are computers.
Indeed the brain (like any spatiotemporal region or even a single atom) is said to be a “subset of the physical universe”. And every subset of the physical universe is computable — at least in principle.
Other people talk about “simulating physical systems” rather than modelling them. So, to quote such a person, this is what he concludes:
“[I]f the brain is a purely physical object, which is the only option consistent with our understanding of how the universe works, there is no reason it cannot be simulated.”
The logic is simple:
i) All physical objects/systems can be simulated or modelled. ii) The brain is a physical object or system. iii) Therefore the brain can be simulated or modelled.
The problem here is the slide from x’s being computable to x being a computer.
Even if the brain (or its workings) were computable, that wouldn’t automatically make it a computer. Searle’s wall or window is (digitally) computable; though that doesn’t make it a computer. Sure, we can carry out an act of stipulation and say:
If the brain is computable, then it’s a computer.
Then again we can do the same to Searle’s wall (or window):
If this wall (or window) is computable, then it’s a computer.
At this rate, almost everything is a computer.
A computer, on the other hand, is both computable and a computer.
Putnam, Hilary. (1991) Representation and Reality. Rana, Fazale. (2012) ‘Biochemical Turing Machines “Reboot” the Watchmaker Argument’ Searle, John. (1992) The Rediscovery of Mind. — (1997) The Mystery of Consciousness