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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

  • Conference proceedings
  • © 1994

Overview

Editors:
  1. Matt Smith

    1. Department of Computing, King Alfred’s College of Higher Education, Winchester, UK

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  2. Alan Smaill

    1. Department of Artificial Intelligence, University of Edinburgh, Edinburgh, Scotland, UK

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  3. Geraint A. Wiggins

    1. Department of Artificial Intelligence, University of Edinburgh, Edinburgh, Scotland, UK

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Part of the book series: Workshops in Computing (WORKSHOPS COMP.)

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Table of contents (10 papers)

  1. Front Matter

    Pages i-ix
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  2. Music Education

    1. Front Matter

      Pages 1-1
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    2. Agent Reflection in an Intelligent Learning Environment Architecture for Musical Composition

      • John Cook
      Pages 3-23

    3. Learning about harmony with Harmony Space: an overview

      • Simon Holland
      Pages 24-40

    4. Motive

      • Matt Smith, Simon Holland
      Pages 41-55

    5. Uncovering Cognitive Processes in Music Composition: Educational and Computational Approaches

      • Brian K. Smith, H. William Smith Jr.
      Pages 56-73

  3. Representation of Musical Knowledge

    1. Front Matter

      Pages 75-75
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    2. Representations of the MONK harmonisation systems

      • Daran Coates
      Pages 77-91

    3. Slappability: A New Metaphor for Human Computer Interaction

      • Daniel V. Oppenheim
      Pages 92-107

    4. Music Representation — between the Musician and the Computer

      • Alan Smaill, Geraint A. Wiggins, Eduardo Miranda
      Pages 108-119

  4. Music Theory and Computational Models

    1. Front Matter

      Pages 121-121
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    2. Pragmatics in Language and Music

      • Kenny R. Coventry, Tim Blackwell
      Pages 123-142

    3. The Role of Musical Memory in Creativity and Learning: a Study of Jazz Performance

      • Geber Ramalho, Jean-Gabriel Ganascia
      Pages 143-156

    4. Automatic Characterisation of Musical Style

      • Martin D. Westhead, Alan Smaill
      Pages 157-170

  5. Back Matter

    Pages 171-173
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Keywords

About this book

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".

Editors and Affiliations

  • Department of Computing, King Alfred’s College of Higher Education, Winchester, UK

    Matt Smith

  • Department of Artificial Intelligence, University of Edinburgh, Edinburgh, Scotland, UK

    Alan Smaill, Geraint A. Wiggins

Bibliographic Information

  • Book Title: Music Education: An Artificial Intelligence Approach

  • Book Subtitle: Proceedings of a Workshop held as part of AI-ED 93, World Conference on Artificial Intelligence in Education, Edinburgh, Scotland, 25 August 1993

  • Editors: Matt Smith, Alan Smaill, Geraint A. Wiggins

  • Series Title: Workshops in Computing

  • DOI: https://doi.org/10.1007/978-1-4471-3571-5

  • Publisher: Springer London

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1994

  • Softcover ISBN: 978-3-540-19873-4Published: 28 February 1994

  • eBook ISBN: 978-1-4471-3571-5Published: 09 March 2013

  • Series ISSN: 1431-1682

  • Edition Number: 1

  • Number of Pages: IX, 173

  • Number of Illustrations: 31 b/w illustrations

  • Additional Information: Jointly published with the British Computer Society

  • Topics: Computer Science, general

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