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Two Worlds Colliding: Musical Intelligence and
Logical/Mathematical Intelligence in Music Technology
Valerie Peters, Northwestern University
"Computer programming is an art form, like the creation
of poetry and music"
Donald Knuth, Professor Emeritus, Stanford,
University
Introduction
The purpose of this study was to
examine the opinions of experts regarding the relationship
between logical/mathematical intelligence and musical
intelligence and how these intelligences are represented in
music technology. Specifically, there was a curiosity about
the following questions:
- 1. What are the different approaches that experts in
the area of music technology adopt?
- 2. How do logical/mathematical and musical
intelligence contribute to success in music
technology?
- 3. Are there inherent biases toward
logical/mathematical reasoning in music technology
software?
- 4. How is programming like/unlike musical
processes?
People such
as Thorndyke, Gilford, and Sternberg have advocated for an
idea of domain specific intelligence. With his book,
Frames of Mind,
Howard Gardner has
continued this trend with his theory of multiple
intelligences. Gardner describes intelligence as the
possession of potential. Basic "core" operations define an
intelligence. In each domain, basic information is dealt
with and processed in different ways. Gardner rejects the
idea that there are a set of broad mental functions that
operate across domains, regardless of the content. Sets of
know-how's and specific procedures for doing things are
native to each type of intelligence. (Gardner,
1983)
Gardner (1983) goes on to characterize
logical/mathematical intelligence as being pure abstraction
in contrast with sensory/motor "knowings". This type of
intelligence deals with abstract, nonlinguistic entities.
There is a type of linear chain of reasoning that is
employed in order to problem solve. Recognition of patterns
is considered at the center of logical/mathematical
intelligence. Western societies often claim that math and
science are basic types of logic that can be generalized to
other domains. There is a sense that these types of logics
have an intrinsic superiority for many in the West . there
is indeed a logic to language
and a logic to music; but, these logics operate according to
their own rules, and even the strongest dosage of
mathematical logic into these areas will not change the ways
in which their endogenous "logics" work." (Gardner, 1983, p.
168)
There is a resultant overemphasis of
linguistic and logical/mathematical intelligence in our
society. "The end result is a society that cares deeply
about the logical, scientific, and mathematical concerns ...
at the expense of some of the more aesthetic or personal
forms of intelligence... "(Gardner, 1983,
p. 164)
Musical intelligence also has specific
"cores" (pitch, rhythm, timbre) according to Gardner. The
perceptual, auditory sense and the emotional/affective
aspects are crucial components of what music is. It is
possible to analyze music in terms of numbers, patterns and
structure. Those who wish to reinforce the rationality of
music use these types of techniques to underscore their
purpose. However, it is impossible to reduce music to an
entirely "objective" form and deny its affective power. "...
none of the claims with respect to musical breakdown suggest
any systematic connection with other faculties (such as
linguistic, numerical, or spatial processing): music seems,
in this regard, sui generis, just like natural language."
(Gardner, 1983, p. 120)
Having defined the two types of
intelligence, an effort was made to find studies that
examined at correlations between the two, specifically
involving mathematics, computers, and music. Chesson (199 1)
studied the characteristics of musical ability and
information processing among music and computer science
students. Music students employed more integrated modes of
processing while computer students were more analytical,
sequential, and logical in their processing. Piro (1986)
compared hemispheric processing among students gifted in
mathematics, music, and dance. The processing in these three
domain areas was very distinct and unrelated.
Logical/mathematical intelligence and
musical intelligence seem autonomous, distinct types of
intelligence. Mathematical principles, while being
complementary to music, are not rudimentary. "...although
mathematical skill is desirable for a theoretical
comprehension and appreciation of musical form and its
workings, its actual operational efficacy may be quite
restricted." (Piro, 1986, p. 150) Piro quotes Gardner as
saying "In my own view, the task in which musicians are
engaged differs fundamentally from that which preoccupies
the pure mathematician. The mathematician is interested in
forms for their own sake, in their own implications, apart
from any realization in a particular medium from any
particular communicative purpose. He [the
mathematician] may choose to analyze music and even have
the gift for doing so; but from a mathematical point of
view, music is just another pattern." (Piro, 1986, pp.
126-127)
Methodology
A qualitative design was chosen to
address the complex, multidimensional types of questions.
There was not an interest in discovering a "right answer"
but rather exploring the possibilities in a holistic way.
The design allowed the possibility of looking at emergent
issues arising from the study.
A lengthy, semi-structured interview was used to engage four
individuals noted for their music technology achievements.
The interviews were a forum to probe the duality of the two
intelligences by talking to people fluent with music
technology and a uniqueness of personal understanding and
experience. Expert opinions were gained through guided
questions.
Interview Questions
1. Describe how you are involved in both music and
technology in your work and in your life.
2. What is your background as it relates to music and to
technology?
3. How has technology changed you as a musician and as an
educator?
4. How has music influenced the way you interact with
the technology?
5. Do you feel that the intelligence required in the area of
music and the intelligence required in the area of
technology are related in any way? How do the two overlap
and how do the two differ? Has involvement in one of these
areas changed your perception of the other area?
6. Describe to me, to the best of your ability, how the
information processing is different in each of these
areas.
7. How does your background in the areas of music and
technology impact your teaching?
8. What would you say are the most important issues
surrounding the areas of music and technology?
9. What are your biggest concerns related to the pedagogy of
music technology?
10. Are there any really important issues that you would
like to elaborate on relating to the topic that have not
been raised with these questions?
The MicNotePad
(http://moof.com/nirvana/) was used to gather the data.
'There are several advantages to using this system over a
traditional tape recorder: (1) data is stored in digital
form and does not lose quality over time; (2) built-in
microphone or sound input may be used along with a hard
drive; (3) traditional navigation controls; (4) freeware;
(5) random positioning for playback (browsing or markers);
and (6) operates in the background if a word processor is
running up front.
The data were analyzed by examining
case uniqueness as well as cross-case patterns that emerged.
Biographies and unique qualities of the four participants
will be described and a discussion of cross-case categories
will follow.
Mr. Ed
Mr. Ed has a Bachelors, Masters, and
PhD degree in music education and is currently a college
music educator. His primary area of research is creativity,
including computers. He spoke extensively on how the role of
talent is perceived in logical/mathematical domains as
compared to music. Giftedness is often thought of as being
inbom in music at a very young age while mathematics
intelligence tends to manifest itself later. He describes
the relationship between technology and music in the
following way: "...and Boulez speaks elegantly in his
writings and also personally when you interview him about
the synergy between technology and music and it being a
natural kind of development all through the history of the
art form and so my greatest concern would be that people
lose sight of the fact that the technology is just an
interesting way to make music."
MultiMax
MultiMax is a visual artist, multimedia
expert, composer, performer, programmer, and mathematician.
He learned the "New Math" at a very young age and is
fascinated by patterns found within and across the different
domains. He is interested in the collaboration that can
bring people back in to the process of art through
technology. He believes that it is more likely that problems
will be solved by chance operations or the randomizing of
elements in math as compared to music. He emphasizes that it
is necessary to understand the underlying technology to
conceptualize what is happening on top in a computer
application. Technology has allowed him new creative avenues
with music. "Well, technology has made it possible for me to
do some things as musician that I could never do without
having to get in contact with several people - a way of
realizing composition."
Toolman
Toolman is a bass guitar player who
teachers theory and cognition at a university. He is
interested in measuring precisely the nature of musical
performance. He has been involved extensively with
artificial intelligence work, programming, and modeling of
musical behaviors. His distant relationship with technology,
given his background, was surprising. He believes that
machines do not help people to learn better and that musical
intelligence has more to do with listening than with
performing. "Is the music we make with these machines better
or more powerful than Schubert ... [or what] Bobby
McFerrin can do standing alone on stage with only his body?
... Is it worse? No - maybe because the tools are so crude
... no digital instrument that approaches the flexibility of
the human voice or a cello."
C-Man
This person has been involved with math,
science, engineering, music, theory, and composition. All
these interests come together in electronic music,
programming, and the teaching of music technology. Sound
processing and software writing are additional areas of
interest. He believes that technology should be put in
people's hands and they should be empowered to succeed. He
does not believe that music technology is dominated by
logical/mathematical intelligence. Technology is viewed as
changing learning and transforming thinking. "...there's
this side of music which is descriptive and logical and
seems math like ... my actual experience of this ... is that
it isn't really useful to think about what you think is
typical or normative in people - that individuals are so
uniquely constructed ... there is a variety of different
types of intelligence ... the kind of thinking that people
use in music and the kind of thinking people use in
technology is a very complex mix and I don't accept
immediately the notion that there is an immediate or obvious
analogy between the two."
Cross-Case Regularities
Most participants were highly
concerned about the affective domain and that technology
should be used to express feelings in sound. Aesthetics and
emotion were also important issues. One person spoke of peak
moments experienced in life through technology. Mathematics
was thought to be characterized by linear, elegant theories
and the type of problem solving involved in this domain may
leave the world of affect. The participants agreed that
rigorously working through material by experimental means
and connected events were important components of
logical/mathematical reasoning. Programming was described as
being paradigmatic of technology in some instances.
Convergent thinking was equated more closely with
programming while a process such as composition was
described as involving more divergent types of thinking. It
was stressed that not all musicians work through a process
of problem decomposition. There were comparisons made
between intuitive/creative approaches versus logical
approaches. Some participants felt that technology was a
tool while others were convinced that it changes the
paradigm of learning. There seemed to be some difference of
opinion concerning the role of the teacher, some believing
that the students should become autonomous with the
technology while others felt strongly that teacher presence
is vital to the learning experience. All participants
articulated the hope that technology would serve the music
and that expressive, sensitive, musical tools would be
developed in the future. The Internet was viewed as a forum
for human involvement in the arts and a way to bring people
back in to the process. While pattern recognition is a part
of the musical process, it is also a robust human cognitive
behavior found in many other domains. The Internet is
changing the way that music and art are produced and there
may be possibilities for interesting collaborative works in
the future.
There were several questions that emerged
from the study. Do we learn better because of machines? Does
music software assume capacity in certain knowledge domains?
Are there options in programs for students who do not think
in a linear fashion but rather work more
intuitively/creatively? Is technology only a tool to be used
in the service of some "other" or is it transforming the
paradigms of teaching and learning?
There are several implications for
further research. The questionnaire should be refined to
specifically focus on the areas of intelligence apart from
the technology questions. There is a need for case studies
of people who program/design notation software. Software
could be evaluated looking for underlying assumptions about
intelligence, learning, style, etc.
References
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