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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.

Citation:
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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