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Mathematical Music offers a concise and easily accessible history
of how mathematics was used to create music. The story presented in
this short, engaging volume ranges from ratios in antiquity to
random combinations in the 17th century, 20th-century statistics,
and contemporary artificial intelligence. This book provides a
fascinating panorama of the gradual mechanization of thought
processes involved in the creation of music. How did Baroque
authors envision a composition system based on combinatorics? What
was it like to create musical algorithms at the beginning of the
20th century, before the computer became a reality? And how does
this all explain today's use of artificial intelligence and machine
learning in music? In addition to discussing the history and the
present state of mathematical music, Braguinski also takes a look
at what possibilities the near future of music AI might hold for
listeners, musicians, and the society. Grounded in research
findings from musicology and the history of technology, and written
for the non-specialist general audience, this book helps both
student and professional readers to make sense of today's music AI
by situating it in a continuous historical context.
Mathematical Music offers a concise and easily accessible history
of how mathematics was used to create music. The story presented in
this short, engaging volume ranges from ratios in antiquity to
random combinations in the 17th century, 20th-century statistics,
and contemporary artificial intelligence. This book provides a
fascinating panorama of the gradual mechanization of thought
processes involved in the creation of music. How did Baroque
authors envision a composition system based on combinatorics? What
was it like to create musical algorithms at the beginning of the
20th century, before the computer became a reality? And how does
this all explain today's use of artificial intelligence and machine
learning in music? In addition to discussing the history and the
present state of mathematical music, Braguinski also takes a look
at what possibilities the near future of music AI might hold for
listeners, musicians, and the society. Grounded in research
findings from musicology and the history of technology, and written
for the non-specialist general audience, this book helps both
student and professional readers to make sense of today's music AI
by situating it in a continuous historical context.
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