Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Posting-Version: version B 2.10.2 (Tek) 9/28/84 based on 9/17/84; site tekchips.UUCP Path: utzoo!watmath!clyde!burl!ulysses!mhuxr!mhuxt!houxm!vax135!cornell!uw-beaver!tektronix!tekcrl!tekchips!wm From: wm@tekchips.UUCP (Wm Leler) Newsgroups: net.ai Subject: Re: definition of AI Message-ID: <409@tekchips.UUCP> Date: Tue, 3-Dec-85 18:35:21 EST Article-I.D.: tekchips.409 Posted: Tue Dec 3 18:35:21 1985 Date-Received: Thu, 5-Dec-85 07:28:49 EST References: <33103@lanl.ARPA> <289@quest.UUCP> <2555@sunybcs.UUCP> <606@kitty.UUCP> Reply-To: wm@tekchips.UUCP (Wm Leler) Organization: Tektronix, Beaverton OR Lines: 19 Here's another "off-the-cuff" definition of AI, but one which I think captures the essence of what separates AI CS from regular CS. Artificial Intelligence is the branch of Computer Science that attempts to solve problems for which there is no known efficient solution, but which we know are efficiently solvable, (typically) because some intelligence can solve the problem (often in "real time"). A side benefit of AI is that it helps us learn how intelligences solve these problems, and thus how natural intelligence works. Example: vision. We do not have any algorithms for recognizing, say, animal faces in images, but we know it must be possible, because humans (even infants) can effectively recognize faces. Solving this problem would help us understand how human vision works. wm