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Extra resources for Advances in Computers, Vol. 24
Proceedings of IX Colloquia di Informatica Musicale, Genoa 80-84. (13-16 November 1991). C. , On interpreting Bach. Machine Intelligence, 6, 221-41, (1971). , The perception of music. Interdiscipilinary Science Reviews, 3, 148-156, (1978). , Friberg, A. , Common secrets of musicians and listeners: An analysis-by-synthesis study of musical performance. In P. Howell, R. West and I. ), Representing Musical Structure, Academic Press, 161-197, (1991). , A model of expressive timing in tonal music. Music Perception, 3, 33-58, (1985).
At an academic conference on AI, for example, one might expect to meet psychologists, biologists, linguists, logicians, mathematicians, philosophers, and other researchers interested in the scientific aspects of their fields- including, of course, musicians. 30 Readings in Music and Artificial Intelligence A Field with many Sub-fields As a field of study, AI is divided into fairly clearly delineated sub-fields, such as: machine vision - modelling of animals' and humans' ability to understand visual images; natural language and speech processing understanding and generating meaningful text and speech; mathematical reasoning- simulating the reasoning process of mathematicians involved in, for example, building formal proofs.
The structuring and representation of knowledge in symbolic AI programs is particularly important, for several reasons. For one thing, AI programs tend to have to deal with large bodies of densely interconnected Musical Knowledge and AI 35 information; the data needs to be structured in such a way that a program can choose paths to move around it fairly arbitrarily. For example, the concept of a "red ball" might be approached from (at least) two directions - from the collection of "red things" or from the collection of "round things".
Advances in Computers, Vol. 24