Path: utzoo!utgpu!news-server.csri.toronto.edu!mailrus!bbn.com!dredick
From: dredick@bbn.com (Barry Kort)
Newsgroups: comp.ai
Subject: Intelligent Rooms
Summary: Learning how to learn.
Keywords: Knowledge Acquistion, Evolution
Message-ID: <57861@bbn.BBN.COM>
Date: 28 Jun 90 01:17:12 GMT
References: <25445@cs.yale.edu> <1990Jun26.140923.22895@cs.umn.edu> <25457@cs.yale.edu> <22928@dartvax.Dartmouth.EDU>
Sender: news@bbn.com
Reply-To: bkort@BBN.COM (Barry Kort)
Organization: BBN Labs (Cambridge, MA)
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In article <22928@dartvax.Dartmouth.EDU> llama@eleazar.dartmouth.edu
(Joseph A. Francis) writes:

->Also, this system as a whole must be able to learn new Chinese words, learn
->how to play crazy eights and tic-tac-toe, and formulate opinions on the
->validity of Searle's CR argument, etc...  The inards of CR are an 
->extremely active, complicated, and evolving place.

Indeed.  It doesn't make much sense to talk about an intelligent system whose
knowledge base is static.  The acquisition of knowledge over time (learning)
is an important feature of intelligent beings, be they made of silicon or
made of meat.  The challenge for AI and Cognitive Science is to learn how
to make the learning process efficient.  I want my CR to be a first-class
scientist.

--Barry Kort

Barry Kort                       bkort@bbn.com
Visiting Scientist
BBN Labs