Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!watmath!clyde!cuae2!ihnp4!ptsfa!lll-lcc!ames!oliveb!sun!jennifer!lyang From: lyang@jennifer.UUCP Newsgroups: comp.ai,comp.misc Subject: Learing about AI (was Re: A List of AI Books (for beginners)) Message-ID: <12992@sun.uucp> Date: Tue, 10-Feb-87 12:40:17 EST Article-I.D.: sun.12992 Posted: Tue Feb 10 12:40:17 1987 Date-Received: Wed, 11-Feb-87 20:32:10 EST References: <375@atux01.UUCP> Sender: news@sun.uucp Lines: 28 Xref: watmath comp.ai:226 comp.misc:213 >Learn LISP and PROLOG. When I took a class on Artificial Intelligence at Stanford (CS223, for those who care), I figured I was ready. I knew PROLOG and LISP. And I was all set to learn about this great thing called 'AI', at the place where big names made it happen. I was in for a surprise. Based on my experience, if you want to learn about hard-core, theoretical artificial intelligence, then you must have a strong (I mean STRONG) background in formal logic. My understanding of PROLOG (which resembles predicate logic) was very helpful, but it wasn't enough. If you want to go out and build expert systems, or perform some other intelligence engineering task, then PROLOG and LISP and a basic grasp of logic are probably enough. But if you want to follow the latest research (and maybe eventually do some of it), then a formal training in logic is a must. ================================================================================ Whydoesn'titsnowintherightplaces? --Larry Yang | *A REAL signature* _|> /\ | lyang@sun.com,{backbone}!sun!lyang | "Limit? We don't | | | /-\ |-\ /-\ Sun Microsystems, Inc. | need no stinkin' <|_/ \_| \_/\_| |_\_| Mountain View, California | 4-line limit! " _/ _/