Xref: utzoo comp.ai:8389 comp.ai.philosophy:502 Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!swrinde!zaphod!usc!ucselx!bionet!agate!shelby!neon!Neon!jmc From: jmc@DEC-Lite.Stanford.EDU (John McCarthy) Newsgroups: comp.ai,comp.ai.philosophy Subject: Re: The Bandwidth of the Brain Message-ID: Date: 14 Jan 91 23:09:08 GMT References: <37618@cup.portal.com> <2755@infinet.UUCP> <1991Jan9.150033.14718@cs.umn.edu> <2015@fcs280s.ncifcrf.gov> <26250@uflorida.cis.ufl.EDU> <16378@venera.isi.edu> Sender: news@Neon.Stanford.EDU (USENET News System) Organization: /u/jmc/.organization Lines: 13 In-Reply-To: smoliar@vaxa.isi.edu's message of 14 Jan 91 21:04:28 GMT I think that writing about AI or philosophy or cognitive science in terms of metaphor is a big mistake. It allows people to write without clear meaning. The debates about which metaphors are applicable are almost meaningless. There are several approaches to AI, some based on neurophysiology, some on imitation neurophysiology, some on psychological experimentation, some on formalizing the facts about the common sense world in mathematical logical languages (my own course). There is no argument that any one of them can't possibly work. Therefore, AI research is a race among the various approaches. The arguments about metaphor are a game for non-participants in the actual work. Buy my book.