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Algorithms for Musical Composition: A Question of Granularity
July 1991 (vol. 24 no. 7)
pp. 54-75

Early approaches to computer-generated music are examined, and it is argued that making music is concerned with a higher level of granularity than that of the notes on music paper. Work in artificial intelligence shows that low-level decisions such as the selection of individual notes may actually be subordinate to a model-based control structure, the models being examples of how problems have been resolved. It is suggested that the search for algorithmic rules should be directed by two questions: how to identify units of material of the appropriate granularity, and, given a collection of those units, how to properly assemble them.

Stephen W. Smoliar, Goffredo Haus, Alberto Sametti, Denis L. Baggi, Antonio Camurri, Corrado Canepa, Marcello Frixione, Renato Zaccaria, Yap Siong Chua, Robert Keefe, "Algorithms for Musical Composition: A Question of Granularity," Computer, vol. 24, no. 7, pp. 54-75, July 1991, doi:10.1109/2.84836
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