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Beschreibung
This book shows how information theory, probability, statistics, mathematics and personal computers can be applied to the exploration of numbers and proportions in music. It brings the methods of scientific and quantitative thinking to questions like: What are the ways of encoding a message in music and how can we be sure of the correct decoding? How do claims of names hidden in the notes of a… score stand up to scientific analysis? How many ways are there of obtaining proportions and are they due to chance?After thoroughly exploring the ways of encoding information in music, the ambiguities of numerical alphabets and the words to be found “hidden” in a score, the book presents a novel way of exploring the proportions in a composition with a purpose-built computer program and gives example results from the application of the techniques. These include information theory, combinatorics, probability, hypothesis testing, Monte Carlo simulation and Bayesian networks, presented in an easily understandable form including their development from ancient history through the life and times of J. S. Bach, making connections between science, philosophy, art, architecture, particle physics, calculating machines and artificial intelligence. For the practitioner the book points out the pitfalls of various psychological fallacies and biases and includes succinct points of guidance for anyone involved in this type of research.This book will be useful to anyone who intends to use a scientific approach to the humanities, particularly music, and will appeal to anyone who is interested in the intersection between the arts and science.With a foreword by Ruth Tatlow (Uppsala University), award winning author of Bach’s Numbers: Compositional Proportion and Significance and Bach and the Riddle of the Number Alphabet.“With this study Alan Shepherd opens a much-needed examination of the wide range of mathematical claims that have been made about J. S. Bach's music, offering both tools and methodological cautions with the potential to help clarify old problems.” Daniel R. Melamed, Professor of Music in Musicology, Indiana University Dieses Produkt haben wir gerade leider nicht auf Lager.
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Technische Daten
Erscheinungsdatum
07.07.2022
Sprache
Englisch
EAN
9783030637712
Herausgeber
Springer International Publishing
Serien- oder Bandtitel
Quantitative Methods in the Humanities and Social Sciences
Sonderedition
Nein
Autor
Alan Shepherd
Seitenanzahl
352
Einbandart
Broschiert
Buch Untertitel
Applying Information Theory and Statistics to Numbers in Music
Schlagwörter
musicology, Bach, numerology, proportions, information theory, statistics, computers, Bayes, coding, biases, scientific tools in the humanities, proportional parallelism, Monte Carlo simulation, Bayesian networks, encoding information in music
Thema-Inhalt
JHBC - Sozialforschung und -statistik
UXJ - Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften
UXA - Computer-Anwendungen in Kunst und Geisteswissenschaften
PBW - Angewandte Mathematik
AVA - Musikwissenschaft und Musiktheorie
GPJ - Kodierungstheorie und Verschlüsselung (Kryptologie)
GPF - Informationstheorie
PBD - Diskrete Mathematik
PBT - Wahrscheinlichkeitsrechnung und Statistik
UFM - Mathematische und statistische Software
Höhe
235 mm
Breite
15.5 cm
Hersteller: Springer, Europaplatz 3, Heidelberg, Deutschland, 69115, ProductSafety@springernature.com, Springer Nature Customer Service Center GmbH
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