Algorithmic composition is the partial or total automation of the process of music composition
by using computers. Since the 1950s, different computational techniques related to Artificial …

The modeling of artificial, human-level creativity is becoming more and more achievable. In
recent years, neural networks have been successfully applied to different tasks such as …

A proposal that an embodied cognition approach to music research—drawing on work in
computer science, psychology, brain science, and musicology—offers a promising …

Algorithmic composition–composing by means of formalizable methods–has a century old
tradition not only in occidental music history. This is the first book to provide a detailed …

Learning Sequences in Music: A Contemporary Music Learning Theory is a milestone in
music education. This book is perhaps the most provocative exploration ever written of how …

AI Methods for Algorithmic Composition: A Survey, a Critical View and Future Prospects Page
1 AI Methods for Algorithmic Composition: A Survey, a Critical View and Future Prospects …

Music in the Human Experience: An Introduction to Music Psychology, Second Edition, is
geared toward music students yet incorporates other disciplines to provide an explanation …

Background In recent years, IRCAM has been exploring and developing software for
computer-assisted composition (CAC). These software packages allow composers and …

Music is an important domain of application for schema theory. The perceptual structures for
pitch and timbre have been mapped via schemata, with results that have contributed to a …

Music creation is difficult because one must express one's creativity while following strict
rules. The advancement of deep learning technologies has diversified the methods to …