Relay-Version: version B 2.10 5/3/83; site utzoo.UUCP
Path: utzoo!watmath!clyde!burl!ulysses!mhuxr!mhuxn!ihnp4!inuxc!pur-ee!uiucdcs!uiucdcsb!schraith
From: schraith@uiucdcsb.CS.UIUC.EDU
Newsgroups: net.ai
Subject: Re: "The Knowledge"
Message-ID: <5500032@uiucdcsb>
Date: Wed, 30-Apr-86 01:12:00 EDT
Article-I.D.: uiucdcsb.5500032
Posted: Wed Apr 30 01:12:00 1986
Date-Received: Fri, 2-May-86 09:06:30 EDT
References: <275@euclid.warwick.UUCP>
Lines: 12
Nf-ID: #R:euclid.warwick.UUCP:275:uiucdcsb:5500032:000:687
Nf-From: uiucdcsb.CS.UIUC.EDU!schraith    Apr 30 00:12:00 1986


There is an article by Pierre Bierre ("The Professor's Challenge".            
  The AI Magazine, Winter 1985:60-70) which bears on this problem.

  It seems to me that if AI researchers wish to build a system which
  has any versatility, it will have to be able to learn, probably
  in a similar manner to the taxicab drivers.  Bierre states this problem:
  "Organize a symbolic recording of an ongoing stream of fly-by
  sensory data, on the fly, such that at any given time as much as 
  possible can be quickly remembered of the entire stream."
  Surely computer professionals have better things to do, ultimately,
  than spoonfeed all the knowledge to a computer it will ever need.