Readings in Music and Artificial Intelligence (Contemporary Music Studies) [Hardcover]

Eduardo Reck Miranda (Editor)

Book Description

ISBN-10: 9057550946 | ISBN-13: 978-9057550942 | Publication Date: August 1, 2000

The interplay between emotional and intellectual elements feature heavily in the research of a variety of scientific fields, including neuroscience, the cognitive sciences and artificial intelligence (AI). This collection of key introductory texts by top researchers worldwide is the first study which introduces the subject of artificial intelligence and music to beginners.
Eduardo Reck Miranda received a Ph.D. in music and artificial intelligence from the University of Edinburgh, Scotland. He has published several research papers in major international journals and his compositions have been performed worldwide. Also includes 57 musical examples.

Product Details

• Hardcover: 308 pages
• Publisher: Routledge (August 1, 2000)
• Language: English
• ISBN-10: 9057550946
• ISBN-13: 978-9057550942
• Product Dimensions: 9.1 x 6 x 1.1 inches
• Shipping Weight: 1.4 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #3,133,616 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

3 of 3 people found the following review helpful:

5.0 out of 5 stars Good introduction on music and AI, January 19, 2001

By 

C. Reisch (Happiest Place on Earth, CA) - See all my reviews
(REAL NAME)   

This review is from: Readings in Music and Artificial Intelligence (Contemporary Music Studies) (Hardcover)

I was pleased to come across this book during my research for my master's thesis on music and artificial intelligence. Although there are a number of books on the subject, they tend to be collections of previously published articles or conference papers and are intended for an audience that already knows the subject of AI fairly well. This book, however, is not a compilation of articles, but a collection of chapters by various authors who were commissioned to write new material for the book. The result is a book with good introductory material in the field of AI and music, covering composition, analysis, knowledge representation, connectionism, and even music education/intelligent tutoring systems. At the end of each chapter, there is a bibliography pointing the reader towards more sources on that particular topic. I also think this would make a good textbook for an introductory class on AI and music for undergraduates (upper division) and graduate students that would appeal to all majors: theory and composition, musicology, and music education (and perhaps to a lesser extent, performance majors). I only wish this book had been available when I first began my research for my thesis - it would have made life a lot simpler! I highly recommend this book as the first book for any reader interested in this subject.