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Article #3419

RE: MUSIC AND AI

#3419
From: Stephen Smoliar
Date: Wed, 26 Jun 1991 00:40
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In article <3191@lee.SEAS.UCLA.EDU> bsmith@turing.seas.ucla.edu (Brian Smith)
writes:
>In article <10936@idunno.Princeton.EDU> eliot@phoenix.Princeton.EDU (Eliot
>Handelman) writes:
>>
>>It's much more interesting to focus on the listener, because apprehension
>>is the simplest act of creativity.
>
>Listening is pretty fascinating stuff, but I think that composition is a much
>more interesting problem since one can't compose without listening.

Where have you been for the last forty years, Brian?  Following the Second
World War, there was no end of experimentation in music;  and much of which
emerged had nothing to do with listening (at least at the time of composition).
The early days of computer-synthesized sounds provide a good case in point.
Composers often labored long and hard to debug the theoretical formulation
of what they wanted yet rarely had much intuition regarding what the tape would
sound like when all the processing was done.  You may wish to take the ethical
position that one OUGHT NOT to compose without listening, but do not expect all
practicing composers to accept that position.

>  To some
>extent, everyone is a composer (i.e. humming arbitrary tunes, melodic contours
>in speech, etc.), so it does seem to be a worthwhile area of study.

I think you are homing in on an important point here, Brian;  and I would like
to try to push it a bit further.  What you are really talking about here is
BEHAVIOR, and one of my favorite hobby-horses is that there is more to behavior
than can be captured in logical calculi or neural nets.  The trouble is that we
to not do a terribly good job when it comes to DESCRIBING such behavior.  The
sorts of protocol analyses which were performed by Newell and Simon were little
more than self-fulfilling prophecies--descriptions based on a foundation of
symbol manipulation which they assumed HAD to be there.  Music, on the other
hand, does not lend itself to such symbol-based descriptions because, as Ed
Hall has been suggesting on comp.music, the actual PRACTICE of MAKING MUSIC
has precious little to do with the symbols of music notation.  Getting a
MACHINE to "make music" (i.e. to exhibit such behavior) may thus be viewed
as a major challenge to artificial intelligence, because it is an aspect of
behavior which has been ignored (and certainly not accounted for) by most of
the progress in AI to date.

>  Once the
>knwoledge gained through listening is captured, how do we use it in the
>performance domain?
>
This is another example of how thinking about music should force us to expand
the current horizons of artificial intelligence.  Much of the artificial
intelligence community seems inclined to live in a world in which "learning"
is a matter of adding declarative sentences to some kind of "knowledge base."
However, the above sentence captures an element of learning which is much
truer to behavior as we know it:  How one behaves "in the performance domain"
is a reflection of what has happened during past listening experiences.  This
is not a new idea Brian.  Quite some time ago, Minsky wrote a wonderful essay
on the role of a musical composition AS TEACHER.  Unfortunately, we have made
precious little progress in implementing any of these ideas.

Nevertheless, those ideas still deserve more attention.  After reading Volume
47 of ARTIFICIAL INTELLIGENCE, we should be at least SKEPTICAL about what
logical calculi can ultimately offer us.  At the very least, we should be
encouraged to work on problems which logic does not "fit" as comfortably
as it does is, for example, choosing the parameters for the design of an
elevator system.  What IS "knowledge gained through listening?"  We really
do not have the slightest idea?  We do not yet even have a handle on how we
know that what we are hearing NOW is the same tune we heard five minutes ago!
So far I have only been able to pursue such questions as peripheral activities,
but my current hunch is that SERIOUS attention to these matters may ultimately
lead to a significant shift in our current paradigms for artificial
intelligence.

===============================================================================

Stephen W. Smoliar
Institute of Systems Science
National University of Singapore
Heng Mui Keng Terrace, Kent Ridge
SINGAPORE 0511

BITNET:  ISSSSM@NUSVM

"He was of Lord Essex's opinion, 'rather to go an hundred miles to speak with
one wise man, than five miles to see a fair town.'"--Boswell on Johnson
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From: Stephen Smoliar <ISSSSM%NUSVM.BITNET@CUNYVM.CUNY.EDU>
Newsgroups: comp.music
Subject:      RE: MUSIC AND AI
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Date: 26 Jun 91 00:40:07 GMT
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