Music, Mind and Machine

The research presented in "Music, Mind and Machine: Studies in Computer Music, Music Cognition and Artificial Intelligence" finds its basis in the fields of musicology, psychology and computer science. Nowadays each of these domains is linked to the other in various research disciplines. In computer music, ways to design machines to make music are explored. In music cognition, mental processes that perceive and apprehend music are investigated. In artificial intelligence the mind is approached as a machine - and machines are built to learn more about the mind.

The articles collected in this volume focus on the perception and representation of musical time and temporal structure, commonly identified as a research area crucial to the understanding of the complex processes that enable us to enjoy and perform music. Most of the theories are illustrated with small concrete computer programs. As such it could serve as a text book for courses in the field of computer music and music cognition.

Peter Desain and Henkjan Honing have collaborated for the last ten years at the City University, London and the Centre for Knowledge Technology, Utrecht. They combine their different backgrounds in computer science, psychology, and music, and share a fascination with the computational modelling approach to music perception and performance. Peter Desain currently works on rhythm perception at the University of Nijmegen, Henkjan Honing does research on the formalisation of musical knowledge at the University of Amsterdam.



I Overview

II Perception

III Representation

IV Methodology




Desain, P., & Honing, H. (1992). Music, mind and machine, studies in computer music, music cognition and artificial intelligence. Amsterdam: Thesis Publishers.