Music education : an artificial intelligence approach : proceedings of a workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993 / Matt Smith, Alan Smaill, and Geraint A. Wiggins, eds.

Format Book
Publication InfoLondon ; New York : Springer-Verlag, ©1994.
Descriptionvii, 170 pages : illustrations ; 24 cm.
Subjects
Artificial intelligence--Musical applications. --Congresses.
Music--Instruction and study. --Congresses.

Other author/creatorSmith, Matt, 1967-
Other author/creatorSmaill, Alan.
Other author/creatorWiggins, Geraint A., 1962-
Other author/creatorBritish Computer Society.
Other author/creatorWorld Conference on Artificial Intelligence in Education (1993 : Edinburgh, Scotland)
SeriesWorkshops in computing
Workshops in computing. ^A304875
Contents Music education: Agent reflection in an intelligent learning environment architecture for musical composition / John Cook -- Learning with harmony space : an overview / Simon Holland -- MOTIVE : the development of an AI tool for beginning melody composers / Matt Smith & Simon Holland -- Uncovering cognitive processes in music composition educational and computational approaches / B.K. Smith and W.H. Smith Jr -- Representation of musical knowledge. -- Representations in the MONK harmonisation system / Daran Coates -- Slappability : a new metaphor for human computer interaction / Daniel V. Oppenheim -- Music representation, between the musician and the composer / Alan Smaill, Geraint Wiggins & Eduardo Maranda -- Music theory and computational models. -- Pragmatics in language and music / Kenny Coventry & Tim Blackwell -- The role of musical memory in creativity and learning : a study of jazz performance / Geber Ramalho & Jean-Gabriel Ganascia -- Automatic characterisation of musical style / Martin Westhead & Alan Smaill.
Abstract The research fields of "artificial intelligence and music" and "cognitive musicology" are relative newcomers to the many interdisciplinary groupings based around the centre of AI and cognitive science. They are concerned with the computational study and emulation of human behaviour with respect to music, in many aspects, and with varying degrees of emphasis on psychological plausibility. Recent publications have included work in such diverse areas as rhythm and pitch perception, performance, composition, and formal analysis. Music shares with language the property of giving access to human mental behaviour in a very direct way. As such, it has the potential to be a very useful domain for AI work. Furthermore, in the course of time, AI related work will surely throw light back onto some or all of the fields to which it is applied. Indeed, we are already beginning to feel the benefits of the application of AI techniques to music technology. It is not surprising, therefore, that one of the first areas interest for of musical AI study is that of music education. There are many ways in which an artificial intelligence or cognitive science approach to music education may be applied - for example, to automate tuition, to explain learning processes, to provide metaphors for human computer interaction, and so on. This collection of papers, which is intended to give an impression of both the breadth and depth of the field, originated from a workshop entitled "Music Education: An Artificial Intelligence Approach".
General note"Published in collaboration with the British Computer Society."
Bibliography noteIncludes bibliographical references and index.
LCCN 93048464
ISBN0387198733 (New York : acid-free paper) :
ISBN3540198733 (Berlin : acid-free paper)