Xref: utzoo comp.ai:5262 talk.philosophy.misc:3347 sci.philosophy.tech:1808 Path: utzoo!utgpu!jarvis.csri.toronto.edu!rutgers!iuvax!cogsci!dave From: dave@cogsci.indiana.edu (David Chalmers) Newsgroups: comp.ai,talk.philosophy.misc,sci.philosophy.tech Subject: Re: Can Machines Think? Message-ID: <31945@iuvax.cs.indiana.edu> Date: 21 Dec 89 05:15:13 GMT References: <31821@iuvax.cs.indiana.edu> <7880@cbnewsm.ATT.COM> Sender: root@iuvax.cs.indiana.edu Reply-To: dave@cogsci.indiana.edu (David Chalmers) Organization: Indiana University, Bloomington Lines: 51 gene edmon writes: >...David Chalmers writes: >>Systems with an appropriate causal structure think. > >Could you elaborate on this a bit? Well, seeing as you ask. The basic idea is that "it's not the meat, it's the motion." At the bottom line, the physical substance of a cognitive system is probably irrelevant -- what seems fundamental is the pattern of causal interactions that is instantiated. Reproducing the appropriate causal pattern, according to this view, brings along with it everything that is essential to cognition, leaving behind only the inessential. (Incidentally, I'm by no means arguing against the importance of the biochemical or the neural -- just asserting that they only make a difference insofar as they make a *functional* difference, that is, play a role in the causal dynamics of the model. And such a functional difference, on this view, can be reproduced in another medium.) And yes, of course this is begging the question. I could present arguments for this point of view but no doubt it would lead to great complications. Just let's say that this view ("functionalism", though this word is a dangerous one to sling around with its many meanings) is widely accepted, and I can't see it being unaccepted soon. The main reason I posted was not to argue for this view, but to delineate the correct role of the computer and the program in the study of mind. The other slightly contentious premise is the one that states that computers can capture any causal structure whatsoever. This, I take it, is the true import of the Church-Turing Thesis -- in fact, when I look at a Turing Machine, I see nothing so much as a formalization of the notion of causal system. And this is why, in the philosophy of mind, "computationalism" is often taken to be synonymous with "functionalism". Personally, I am a functionalist first, but accept computationalism because of the plausibility of this premise. Some people will argue against this premise, saying that computers cannot model certain processes which are inherently "analog". I've never seen the slightest evidence for this, and I'm yet to see an example of such a process. (The multi-body problem, by the way, is not a good example -- lack of a closed-form solution does not imply the impossibility of a computational model.) Of course, we may need to model processes at a low, non-superficial level, but this is not a problem. The other option for those who argue against the computational metaphor is to say "yes, but computation doesn't capture causal structure *in the right way*". (For instance, the causation is "symbolic", or it has to be mediated by a central processor.) I've never found much force in these arguments. -- Dave Chalmers (dave@cogsci.indiana.edu) Concepts and Cognition, Indiana University. "It is not the least charm of a theory that it is refutable" -- Fred