Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!csd4.milw.wisc.edu!lll-winken!uunet!mcvax!hp4nl!botter!star.cs.vu.nl!roelw@cs.vu.nl From: roelw@cs.vu.nl Newsgroups: comp.ai Subject: Chinese room argument Message-ID: <2217@star.cs.vu.nl> Date: 27 Mar 89 11:01:37 GMT Sender: roelw@cs.vu.nl Reply-To: roelw@cs.vu.nl () Organization: VU Informatica, Amsterdam Lines: 139 In <4532@pt.cs.cmu.edu>, kck@g.gp.cs.cmu.edu (Karl Kluge) writes: >What do you mean by "knowing the denotations of the symbols it >manipulates", By "symbol" I mean any abstract or concrete entity which 1. is distniguishable from other entities and 2. can be mechanically recognized as being the same symbol every time it occurs. This last requirement assumes that there is a distinction between a symbol and its occurrences, and that no human faculty is needed to classify occurrences as occurrences of the same symbol. By the "denotation" of a symbol I mean an abstract or concrete entity which is assigned to the symbol. This is in itself a meaningless exercise, but acquires meaning from a context such as proving program correctness or formally proving a theorem. The assignment of a denotation to a symbol can be formalized as a mathematical function; given a set SYM of symbols and a set DEN of possible denotations we can specify any function in [SYM -> DEN] as denotation function. "Knowledge" is not formally defined in my statement; but we have some knowledge of what it means, from first-hand experience, psychological theory, etc. What I mean by my statement is that with respect to the symbols it manipulates, a computer is in the position of a human being who manipulates symbols on a piece of paper without knowing "the" denotation of these symbols. More precisely: 1. I assume "knowing" means something for human beings, although we cannot say precisely what it means; 2. I don't assume that the computer "knows" something in the same sense that the human being knows something (versus assuming that the computer cannot know anything, for that is what I want to show, whithout assuming it); 3. a computation is a symbol manipulation for which a denotation function has been selected; if the computation is sound, the output has a denotation if the input has; 4. the human being need not be aware of the denotation function selected in order to carry out the symbol manipulation; 5. so it may be possible to interpret a single symbol- manipulating process as a computation of an answer to a Chinese question and, using a different denotation function, as the computation of the solution to a differential equation, and, using a different function again, as the computation of the square root of a number. This is only imposible for those symbol- manipulations for which it can be proven that there is only one denotation function for which the computation is sound. (Cf. Reiter's closed-world hypotheses for databases, which restrict the set of possible models of the theory to a singleton set of 1 model). Given this independence of syntac and semantics, there is no sense in which a computer can "know" the denotations of the symbols it manipulates; simply because in general is not a single priviliged denotation. (Reiter's closed-world DB's are hardly a candidate for thinking computers). The hard part is how a denotation function of a set of symbols links with our ability to think and know things. I have nothing to say about that, except that the onus of proof (or plausible argument) is on those who say that we think by manipulating symbols. Note that of the set DEN is again a set of symbols, we can define the denotation function formally and even store (a finite part of) it in a computer and manipulate it. This is what a computer actually does. This shifts the problem to what the denotation of the symbols in DEN is. I am not convinced that symbol grounding is at all the answer for a machine to transcend symbol- manipulation. The letters I know type are symbols which are stored in a computer and manipulated on the basis of their syntactic (and physically recognizable) form. They are grounded in my hitting certain physical keys, but this does not make my computer intelligent. I don't think proof is attainable here. The error may be that the desire to prove things may cloud the view of the possibility that rational argument is possible outside the realm of provable statements, and this clouding may open the way for irrationality. > If we can agree that people can "think" without "knowing" the > notations of the symbols they use (regardless of whether people > are "symbols all the way down"), then why is the ability of a > TM to "know" the denotations of its symbols relevent to the > question of whether it can think? The question is whether people think by manipulating symbols. If so, then we may ask whether they can do so without knowing the denotation of these symbols. (presumably yes, for we are not aware of manipulating symbols when thinking). Not assuming that people are symbols all the way down, let's take an uncontroversial example: a mathematician rehearsing a proof s/he is going to explain for a class. Can s/he do this whithout knowing what the symbols stand for? I would say not. But I agree that this is not a proof that s/he does not actually manipulate symbols "all the way down" without knowing their denotation. Neither do I think such a proof is possible, or required. > I don't understand your concern about the system's "knowing" > this arbitrary property, [the denotation of a symbol] when it > can (by hypothesis) do all the right things in terms of > interacting with the world without "knowing"/representing this > property. I am concerned with the independence of syntax from (denotational) semantics because I think that it the crux of Searle's argument. However, Searle's argument is not a proof and many people are not convinced (let alone converted) by it. (It would almost be a contradiction in terms if it were a proof, for then it would be formalizable, and hence verifiable by a computer). I am more concerned however with the tendency to identify thought with the capability to causally interact with the world in the proper way. "The proper way" is often taken to mean "indistinguishable from the way human beings interact." This last assumption is made in the Turing test (in any of its forms). I disagree with this on two points: 1. There is more to human thought than causal interaction with the world. To demand that everything that exists must be describable as causal interaction is a form of philosophical idealism, for it is the requirement that what exists must be knowable in a certain way. There is no reason the universe should be constituted such that we, insignificant parts of it, can know it in a certain way. This does not mean that the drive to explain events causally is bad, or wrong, etc., just that it has limits, and the explanation of human subjectivity may be one of those limits. I agree mostly with Thomas Nagel's book "The View From Nowhere" on this (Oxford UP 1986). See also his "What is it like to be a bat", reprinted in "Mortal Questions," Cambridge UP, 1979, 165-180. 2. To interpret "the proper way of interacting with the world" with "acting indistinguishably from human beings" is to confuse ontology with epistemology. Searle also say as much; the question is not how we know that a person things, nor how we can logically or empirically justify such knowledge claims, but what it is we ascribe to a person when we say that s/he thinks. Roel Wieringa