Ebook: 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

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".

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This volume is based on the proceedings of the Workshop on Music Education: An Artificial Intelligence Approach, which was held in Edinburgh, Scotland, on 25 August 1993, as part of AI-ED 93, the World Conference on Artificial Intelligence in Education. Music education is an area of particular interest within artificial intelligence/music research, which is concerned with the computational study and emulation of human behaviour with respect to music. The workshop concentrated on the themes of music education, representation of musical knowledge, and music theory and computational models. This volume covers a wide range of topics, and as such serves both as an introductory text to a relatively new field, and also as a report on (aspects of) the state of the art. It will be of particular interest to researchers, practitioners, and postgraduate students.

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This volume is based on the proceedings of the Workshop on Music Education: An Artificial Intelligence Approach, which was held in Edinburgh, Scotland, on 25 August 1993, as part of AI-ED 93, the World Conference on Artificial Intelligence in Education. Music education is an area of particular interest within artificial intelligence/music research, which is concerned with the computational study and emulation of human behaviour with respect to music. The workshop concentrated on the themes of music education, representation of musical knowledge, and music theory and computational models. This volume covers a wide range of topics, and as such serves both as an introductory text to a relatively new field, and also as a report on (aspects of) the state of the art. It will be of particular interest to researchers, practitioners, and postgraduate students.
Content:
Front Matter....Pages i-ix
Front Matter....Pages 1-1
Agent Reflection in an Intelligent Learning Environment Architecture for Musical Composition....Pages 3-23
Learning about harmony with Harmony Space: an overview....Pages 24-40
Motive....Pages 41-55
Uncovering Cognitive Processes in Music Composition: Educational and Computational Approaches....Pages 56-73
Front Matter....Pages 75-75
Representations of the MONK harmonisation systems....Pages 77-91
Slappability: A New Metaphor for Human Computer Interaction....Pages 92-107
Music Representation — between the Musician and the Computer....Pages 108-119
Front Matter....Pages 121-121
Pragmatics in Language and Music....Pages 123-142
The Role of Musical Memory in Creativity and Learning: a Study of Jazz Performance....Pages 143-156
Automatic Characterisation of Musical Style....Pages 157-170
Back Matter....Pages 171-173

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This volume is based on the proceedings of the Workshop on Music Education: An Artificial Intelligence Approach, which was held in Edinburgh, Scotland, on 25 August 1993, as part of AI-ED 93, the World Conference on Artificial Intelligence in Education. Music education is an area of particular interest within artificial intelligence/music research, which is concerned with the computational study and emulation of human behaviour with respect to music. The workshop concentrated on the themes of music education, representation of musical knowledge, and music theory and computational models. This volume covers a wide range of topics, and as such serves both as an introductory text to a relatively new field, and also as a report on (aspects of) the state of the art. It will be of particular interest to researchers, practitioners, and postgraduate students.
Content:
Front Matter....Pages i-ix
Front Matter....Pages 1-1
Agent Reflection in an Intelligent Learning Environment Architecture for Musical Composition....Pages 3-23
Learning about harmony with Harmony Space: an overview....Pages 24-40
Motive....Pages 41-55
Uncovering Cognitive Processes in Music Composition: Educational and Computational Approaches....Pages 56-73
Front Matter....Pages 75-75
Representations of the MONK harmonisation systems....Pages 77-91
Slappability: A New Metaphor for Human Computer Interaction....Pages 92-107
Music Representation — between the Musician and the Computer....Pages 108-119
Front Matter....Pages 121-121
Pragmatics in Language and Music....Pages 123-142
The Role of Musical Memory in Creativity and Learning: a Study of Jazz Performance....Pages 143-156
Automatic Characterisation of Musical Style....Pages 157-170
Back Matter....Pages 171-173
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