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From: sticklen@cps.msu.edu (Jon Sticklen)
Newsgroups: comp.ai
Subject: Re: What AI is exactly.
Message-ID: <1990Sep15.203353.5415@msuinfo.cl.msu.edu>
Date: 15 Sep 90 20:33:53 GMT
References: <3030@aipna.ed.ac.uk>
Sender: news@msuinfo.cl.msu.edu
Organization: Michigan State University
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From article <3030@aipna.ed.ac.uk>, by cam@aipna.ed.ac.uk (Chris Malcolm):
> In article <3853@se-sd.SanDiego.NCR.COM> jim@se-sd.SanDiego.NCR.COM (Jim Ruehlin, Cognitologist domesticus) writes:
...
> unobserved behavioural capabilities. But there is another way of finding
> out how something would behave: prediction from knowing how it works.
...


But this "how it works" is ambiguous because there are many ways of
knowing "how it works." Eg, one way to know how something works is
describing the underlying implemetnation - for human intelligence,
I then have to describe things in terms of neurophysiology. But another,
perhaps more illuminating way of describing "how it works" is in terms of
the information processing that has to go on to support the activity that
is called intelligent. What is sought then is an implementation-free
description of "how it works." You might call it a "Knowledge
Level Architecture." This would be a level of intelligent system
description above the symbol level, but below the KL (as described by
Newell). In fact, I *did* call it that in

        Sticklen, J. (1989). Problem Solving Architectures at the
        Knowledge Level. Journal of Experimental and Theoretical
        Artificial Intelligence. 1 (pp. 1-52).


  ---jon---