Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP Path: utzoo!mnetor!uunet!husc6!rutgers!mcnc!decvax!decwrl!ucbvax!MC.LCS.MIT.EDU!nick From: nick@MC.LCS.MIT.EDU Newsgroups: comp.ai.digest Subject: The success of AI (misunderstandings) Message-ID: <8710260721.AA26918@ucbvax.Berkeley.EDU> Date: Mon, 26-Oct-87 02:22:01 EST Article-I.D.: ucbvax.8710260721.AA26918 Posted: Mon Oct 26 02:22:01 1987 Date-Received: Wed, 28-Oct-87 01:15:53 EST References: Sender: daemon@ucbvax.BERKELEY.EDU Organization: The ARPA Internet Lines: 20 Approved: ailist@kl.sri.com In article <193@PT.CS.CMU.EDU> spe@spice.cs.cmu.edu (Sean Engelson) writes: >Given a sufficiently powerful computer, I could, in theory, simulate >the human body and brain to any desired degree of accuracy. You are in good company. Laplace thought much the same thing about the entire physical universe. However, some results in chaos theory appear to imply that complex real systems may not be predictable even in principle. In a dynamic system with sufficiently 'sensitive dependence on intial conditions' arbitrarily large separations can appear (in the state space) between points that were initially arbitrarily close. No conceivable system of measurement can get around the fact that the behavior of the system itself 'systematically' erodes our information about its state. For a good intro to chaos theory, see the article by Farmer, Packard, et. al. in Scientific American December 86..