Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!watmath!clyde!rutgers!ames!ucbcad!ucbvax!decvax!tektronix!uw-beaver!ubc-vision!ubc-cs!andrews From: andrews@ubc-cs.UUCP Newsgroups: comp.ai,comp.misc Subject: Re: Learing about AI Message-ID: <848@ubc-cs.UUCP> Date: Tue, 17-Feb-87 12:27:59 EST Article-I.D.: ubc-cs.848 Posted: Tue Feb 17 12:27:59 1987 Date-Received: Sat, 21-Feb-87 16:06:43 EST References: <375@atux01.UUCP> <12992@sun.uucp> <278@vax1.ccs.cornell.edu> Reply-To: andrews@ubc-cs.UUCP (Jamie Andrews) Organization: UBC Department of Computer Science, Vancouver, B.C., Canada Lines: 16 Xref: watmath comp.ai:248 comp.misc:258 In article <278@vax1.ccs.cornell.edu> czhj@vax1.UUCP (Ted Inoue) writes: >But look at the approach that LOGIC gives AI. It is a purely reductionist >view, akin to studying global plate motion at the level of sub-atomic >particles. It is simply the wrong level at which to approach the problem. This is too generalized. There are good applications of logic to AI, and there are bad ones. Only by knowing a lot about logic *and* the structure of the problem domain can you tell which is which. I would agree that predicate logic techniques have often been applied to problems in a way that leaves out inordinately large chunks of the domain. However, the same could be said about most AI techniques. --Jamie. ...!seismo!ubc-vision!ubc-cs!andrews "Take my shoes off & throw them in the lake"