Understanding music with AI : perspectives on music cognition / edited by Mira Balaban, Kemal Ebcioğlu, and Otto Laske.

Other author Balaban, Mira, editor.
Other author Ebcioglu, Kemal, editor.
Other author Laske, Otto E. (Otto Ernst), 1936- editor.
Format Book
Publication InfoCambridge : MIT Press ; Menlo Park, CA : AAAI Press, 1992.
Descriptionxxxviii, 512 pages : illustrations ; 25 cm
Subjects

Contents Foreword: A conversation with Marvin Minsky / Marvin Minsky & O. Laske -- Section one: Two views on cognitive musicology. Artificial intelligence and music: a cornerstone of cognitive musicology / O. Laske -- Beyond computational musicology / P. Kugel -- Section two: General problems in modeling musical activities. Overview -- Representing listening behavior: problems and prospects / S. W. Smoliar -- Symbolic and sonic representations of sound-object structures / B. Bel -- Music structures: interleaving the temporal and hierarchical aspects in music / B. Balaban -- On designing a typed music language / E. B. Blevis, M. A. Jenkins, J. I. Glasgow -- Logical representation and induction for computer assisted composition / F. Courtot -- Section three: Music composition. Cybernetic composer: an overview / C. Ames and M. Domino -- Wolfgang: a system using emoting potentials to manage musical design / R. D. Riecken -- On the application of problem reduction search to automated composition / S. C. Marsella and C. F. Schmidt -- The observer tradition of knowledge acquisition / O. Laske -- Section four: Analysis. An expert system for harmonizing chorales in the style of J.S. Bach / K. Ebcioglu -- An expert system for harmonic analysis of tonal music / H. J. Maxwell -- On the algorithmic representation of musical style / D. Cope -- Section five: Performance. Overview -- Bol processor grammars / B. Bel and J. Kippen -- A new approach to music through vision / S. Ohteru and S. Hashimoto -- Section six: Perception. On analyzing and representing musical rhythm / C. Linster -- On the perception of meter / B. O. Miller, D. L. Scarborough, J. A. Jones -- The quantization problem: traditional and connectionist approaches / P. Desain & H. Honing -- Section seven: Learning and tutoring. Overview -- An architecture for an intelligent tutoring system / M. J. Baker -- A knowledge intensive approach to machine learning in tonal music / G. Widmer.
Abstract This anthology provides an informative and timely introduction to ongoing research on music as a cognitive process, bringing a new coherence to the emerging science of musical activity. Following the foreword, which is based on a conversation with Marvin Minsky, 26 contributions explore musical composition, analysis, performance, perception, and learning and tutoring. Their goal is to discover how these activities can be interpreted, understood, modeled, and supported through the use of computer programs. Each chapter is put into perspective by the editors, and empirical investigations are framed by a discussion of the nature of cognitive musicology and of epistemological problems of modeling musical action. The contributions, drawn from two international workshops on AI and Music held in 1988 and 1989, are grouped in seven sections. Topics in these sections take up two views of the nature of cognitive musicology (Kugel, Laske), principles of modeling musical activity (Balaban, Bel, Blevis, Glasgow and Jenkins, Courtot, Smoliar), approaches to music composition (Ames and Domino, Laske, Marsella, Riecken), music analysis by synthesis (Cope, Ebcioglu, Maxwell), realtime performance of music (Bel and Kippen, Ohteru and Hashimoto), music perception (Desain and Honing, Jones, Miller and Scarborough, Linster), and learning/tutoring (Baker, Widmer).
Bibliography noteIncludes bibliographical references and index.
ISBN0262521709 (paperback)
ISBN9780262521703 (paperback)

Availability

Library Location Call Number Status Item Actions
Music Closed Stacks - Ask at Circulation Desk Q335 .U53 1992 ✔ Available Place Hold