Xref: utzoo comp.ai:5480 sci.philosophy.tech:1890 Path: utzoo!utgpu!jarvis.csri.toronto.edu!mailrus!umich!samsung!zaphod.mps.ohio-state.edu!sol.ctr.columbia.edu!sdsu!ucsd!sdcsvax!mandrill!bloch From: bloch@mandrill.ucsd.edu (Steve Bloch) Newsgroups: comp.ai,sci.philosophy.tech Subject: Re: more Chinese Room Message-ID: <7693@sdcsvax.UCSD.Edu> Date: 11 Jan 90 08:41:27 GMT References: <2602@cunixc.cc.columbia.edu> <1527@skye.ed.ac.uk> Sender: nobody@sdcsvax.UCSD.Edu Reply-To: bloch@thor.UUCP (Steve Bloch) Organization: University of California, San Diego Lines: 116 pnf@cunixa.cc.columbia.edu (Paul N Fahn) writes: > He is basically asking people to >try to identify with a computer cpu and then conclude non-understanding. Let's give Searle this, for the moment: the CPU does not understand, by analogy with the Anglophone in the Chinese room. It's still the wrong question, since Searle said he would disprove that "computers running programs cannot understand", a completely different proposition. Nobody's ever seriously claimed that the processor itself somehow magically becomes intelligent when a certain program is stuck into its memory; the claim (if we are to trust Searle's statement of it) was that if a suitable computer, running a suitable program, passes a Turing test, then it actually is intelligent. The analogy of the Chinese room is invalid unless it includes the whole system: Dr. Searle in his room, the book of rules (or just "the rules", if Dr. Searle somehow manages to memorize enough formal rules to completely specify the verbal behavior of a human being, which I suspect exceeds the theoretical information content of a human brain), and the window through which Chinese characters are passed. And the question of whether this system "understands" Chinese is no easier than whether an AI program "understands" fairy tales. jeff@aiai.UUCP (Jeff Dalton) writes: >The point of the Turing Test is not to answer whether a computer does >or does not understand but rather to substitute a different question >which we may find good enough. I'm sure Searle, and for that matter many AI researchers, would agree with you: the Turing Test isn't sufficient to prove that a suitable computer running a suitable program understands. But he goes farther: his objective is to prove that a computer running a program CANNOT understand, although some other unspecified kind of machine doing something else unspecified might. His certainty on this issue seems to me quite unwarranted, and sometimes downright offensive. Paul goes on: >Let us look at Searle's recent twist to the problem: the man memorizes >the rules and answers Chinese questions in public. We the experimenters >watch him do this for two years and then must decide whether he >understands Chinese. A lot of people would conclude that he does indeed >understand Chinese, even if they "knew" that he was following rules. To which Jeff replies: >No they wouldn't, because they'd sooner or later ask him to restate >some Chinese in another language. Besides, you're assuming that a >lot of people would accept a Turing Test as adequate. Don't we? I'm using the Turing Test to conclude that both Paul and Jeff are people, and I have no qualms about it. Indeed, if Dr. Searle were on this newsgroup I suspect he would do the same. As for "they'd ask him to restate some Chinese in another language", if they asked in Chinese, he would presumably answer in Chinese that "I don't speak English." If they asked in English (equivalent to hitting BREAK on your terminal, falling into a ROM monitor, and talking to the processor in machine language), this would require throwing out part of the system that was passing the test, so the fact that the new system fails indicates nothing about the old system. ******************************************************************** Another objection to Searle's article. Searle makes much of the distinction between a model and an actual object: "a person does not get wet swimming in a pool full of ping-pong-ball models of water molecules," "Simulation is not duplication." "you could not run your car by doing a computer simulation of the oxidation of gasoline, and you could not digest pizza by running the program that simulates such digestion. It seems obvious that a simulation of cognition will similarly not reproduce the effects of the neurobiology of cognition." When you talk to someone on the phone, you are not actually hearing the person's voice, but rather a simulation of it, carried out by formal, mechanical processes, with a fair amount of digital signal processing and no small amount of random noise introduced to boot. Yet for practical purposes we treat this simulation as the reality, because what we're interested in is communication of ideas, not the physical presence of a person within earshot. (In some cases there isn't even a person at the other end, just a machine simulating a person's voice straight into the wire.) In other words, the simulation preserves the part of reality we're interested in. If I have an idea, it remains essentially the same idea whether I speak it aloud, type it on a keyboard to store it in an ASCII file on a magnetic disk, or write it in Chinese with a horsehair brush, inkstone and inkblock on rice paper. These representations are all simulations of one another which preserve the essential part of the idea, the real information. By contrast, when you ask whether I've gotten wet, you're asking about interactions between my skin and water molecules; the ping-pong-ball model does not preserve interactions with real skin, unless it too is modelled on the same scale. When you ask whether a car has moved, or whether I've digested a pizza, you're asking about the release of energy (among other things), and a computer simulation of oxidizing hydrocarbons (or carbohydrates) doesn't preserve the release of real energy. "Simulation is not duplication" is certainly true unless you have a COMPLETE simulation of EVERY ASPECT of the simulated system. But an incomplete simulation CAN duplicate the aspects of the system you're interested in, and if what we're interested in in cognition is information flow, there's no reason to believe a computer program can't simulate that (it is their specialty, after all). And while it may "seem obvious that a simulation of cognition will similarly not reproduce the effects of the neurobiology of cognition," I don't care because neurobiology isn't what I'm interested in. Searle, on the other hand, apparently takes it as axiomatic that cognition cannot occur without certain biochemical reactions. Everything depends on what aspects of cognition you care about: the Turing test is perhaps a little overly behavioristic, but I think Searle's demand is at least as far in the other direction. "The above opinions are my own. But that's just my opinion." Stephen Bloch bloch%cs@ucsd.edu