Path: utzoo!utgpu!jarvis.csri.toronto.edu!cs.utexas.edu!tut.cis.ohio-state.edu!ucbvax!bellatrix.uucp!vanroy From: vanroy@bellatrix.uucp Newsgroups: comp.ai Subject: Re: Chinese Rooms and slippery concepts Message-ID: <33668@ucbvax.BERKELEY.EDU> Date: 14 Jan 90 22:56:06 GMT Sender: usenet@ucbvax.BERKELEY.EDU Reply-To: vanroy@bellatrix.uucp () Organization: University of California at Berkeley Lines: 34 Gentlemen, I've been following the Searle -- Chinese room argument on comp.ai with some interest. But I'm puzzled by all the vagueness. Please correct me if I'm wrong, but to me the Chinese Room behaves just like a real person, and that's good enough. Why go to all the lengths to introduce fuzzy words like "understands" and "mind" and so forth? Using fuzzy words means that nobody will ever convince anyone with another opinion. In addition, someone on the net gave the example of a child being born and learning to live in the world to show that semantics can arise from syntax. Unless the child is hardwired with semantics at birth, this seems a valid argument. Since all of our senses just get syntax input from the outside world, and we seem to build up an internal model out of it, where does that leave Searle's axiom? Assume that the child is born with hardwired semantics is not good enough either. Where does that semantics come from? Does evolution slowly put semantics into living beings as they evolve? At the Big Bang, did the universe start out with semantics (some meaning, symbols) or not? Where is the inconsistency in assuming that the universe started without any "meaning"? The argument starts to look like religion. A book which gives some indirect insight into part of this is "Vision and the Brain" (title not exact) from the Sci.Am. Library. It gives a good discussion on the first few layers of vision processing in the brain. There's no mystery, just lots of hardware! The brain has a nontrivial problem to solve & it tackles it without shirking by introducing enough hardware to solve it. The design of vision processing in the brain is quite clever & there are nice tricks to reduce the amount of hardware, but no mystery is involved. Why shouldn't the rest of the brain be built in this way too? Why introduce slippery concepts like "mind" and "understands"? Confusedly yours, Peter Van Roy vanroy@ernie.berkeley.edu