This thesis will describe a system for the production of generative music
through specific methodology, and provide an approach for the delivery of this
material. The system and body of work will be targeted specifically at the personal
listening audience. As the largest current consumer of music in all genres of
music, this represents the largest and most applicable market to develop such a
system for. By considering how recorded media compares to concert performance,
it is possible to ascertain which attributes of performance may be translated to
a generative media. In addition, an outline of how fixed media has changed how
people listen to music directly will be considered. By looking at these concepts
an attempt is made to create a system which satisfies societies need for music
which is not only commodified and easily approached, but also closes the qualitative
gap between a static delivery medium and concert based output. This is
approached within the context of contemporary classical music. Furthermore, by
considering the development and fragmentation of the personal listening audience
through technological developments, a methodology for the delivery of generative
media to a range of devices will be investigated. A body of musical work will
be created which attempts to realise these goals in a qualitative fashion. These
works will span the development of the composition methodology, and the algorithmic
methods covered. A conclusion based on the possibilities of each system
with regard to its qualitative output will form the basis for evaluation. As this
investigation is seated within the field of music, the musical output and composition
methodology will be considered as the primary deciding factor of a system's
feasibility. The contribution of this research to the field will be a methodology for
the composition and production of algorithmic music in realtime, and a feasible
method for the delivery of this music to a wide audience
