Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!sri-unix!sri-spam!mordor!lll-tis!ames!ucbcad!ucbvax!hplabs!well!wcalvin From: wcalvin@well.UUCP (William Calvin) Newsgroups: comp.ai Subject: Re: Goal of AI: where are we going? Message-ID: <4133@well.UUCP> Date: Sun, 4-Oct-87 16:19:03 EDT Article-I.D.: well.4133 Posted: Sun Oct 4 16:19:03 1987 Date-Received: Wed, 7-Oct-87 07:08:39 EDT References: <178@usl> <46400008@uxe.cso.uiuc.edu> <272@uwslh.UUCP> Reply-To: wcalvin@well.UUCP (William Calvin) Organization: Whole Earth 'Lectronic Link, Sausalito, CA Lines: 14 Keywords: Neurobiology, evolutionary biology, Minsky, Braitenberg Summary: Re-inventing the wheel vs. Using neurobiology to help Making AI a real science suffers from the attitude of many of its founders: they'd rather re-invent the wheel than "cheat" by looking at brain research. While Minsky's SOCIETY OF MIND is very interesting, one gets the impression that he hasn't looked at neurophysiology since the 1950s. Contrast that to Braitenberg's little book VEHICLES (MIT Press 1984), which summarizes a lot of ideas kicking around neurobiology at the simple circuit level. The other thing strikingly missing, besides a working knowledge of neurobiology beyond the Hubel-Wiesel level, is a knowledge of evolutionary biology beyond the "survival of the fittest" level. Emergent properties are a big aspect of complex systems, but one seldom hears much talk about them in AI. William H. Calvin University of Washington NJ-15, Seattle WA 98195