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Write a customer review. Most Helpful Customer Reviews. Format: Hardcover. In this book the author makes a case for musical creativity by machines resulting from a process named "inductive association" which is a more narrowly defined version of free association, or the shedding of deductive reasoning for a more intuitive process. Each chapter begins with a simple principle, one that the author attempts to prove as the chapter proceeds.

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These principles are followed by illustrative vignettes appropriate to that chapter's focus. Many chapters also contain descriptions of computer programs designed to demonstrate that chapter's focus on the complexities of musical creativity. Part one provides the history and meaning of creativity. That section ends with a detailed analysis of randomness and how it differs from creativity.

There is a summary of computer program types that in some way may model musical creativity. Part two describes a number of possible models for computationally imitating human creativity. Chapter 4 outlines the basic principles of recombinance and pattern matching, which are the two foundations of the author's work with computers and music. Chapter 5 describes how allusions contribute to musical creativity, and concludes with the description of a program that analyzes music for its references to other music and possible ways in which these references might be interpreted.

Chapter 6 explains the role that learning plays in the creative process. Chapter 7 presents some of the ways in which composers build musical expectations and then either fulfill them or surprise listeners. It then discusses musical hierarchy and how computer programs can incorporate the analytical tools necessary to meld hierarchy into their creative processes.

Part 3 presents an inductive-association computational process that can solve problems and produce music creatively. Chapter 9 defines association networks and explains how such networks can respond effectively to input.

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Chapter 10 applies the principles of association networks to music. Chapter 11 discusses a number of possible combinations of the processes discussed so far, ultimately favoring an integrative model. Chapter 12 presents a number of aesthetical difficulties involved when computationally modeling creativity.

Readers of this book should have experience with music notation, but no knowledge of computer programming is required. However, I think it would have been more difficult to get through this book if I didn't already know AI terminology. This book has a very academic tone which should be familiar to anybody who is familiar with Cope's other works. I recommend it for anyone who has the appropriate background who is interested in whether or not computers "think", and if they do, if they can also "create".

Was this review helpful to you? By Jeremy Mates. Format: Hardcover Amazon Verified Purchase. Excellent philosophical and computational insights into creativity. Useful discussion of various methods of generating music and the benefits and drawbacks of each, alongside discussion of the voice leading, tension, allusions, and structural hierarchy analysis a human would do when researching existing or composing new works.

Also interesting are the human responses to computer generated classical music: "I haven't heard it, but it sucks" music critic to "this isn't computer music because it is classical" computer music publishers to "this isn't classical music because it was recently composed" classical publishers.

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See most popular tags. Sell a Digital Version of This Book in the Kindle Store If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. So You'd Like to These authors variously consider the project from different perspectives, offer independent approaches, or provide more general reflections from their respective research fields. JavaScript is currently disabled, this site works much better if you enable JavaScript in your browser.

Computer Science Artificial Intelligence. Free Preview. Provides new insights into musical intuition and its possible formalization Demonstrates which algorithms and paradigms of algorithmic composition are suitable for applications in contemporary composition Examples of current mathematical approaches to the compositional process are demonstrated see more benefits. Buy eBook. Buy Hardcover. Buy Softcover. FAQ Policy. About this book The present book is the result of a three year research project which investigated the creative act of composing by means of algorithmic composition.