This thesis presents a body of theoretical research, combined with a portfolio of artworks, residing within the field of network music. Network music is a musical practice in which conceptual, technological, ideological and/or philosophical concepts of the network are included in the design, composition, production, and/or performance process. The thesis contains analysis of three historical examples of network music, as well as critical reflection of three artistic responses that have been created by the author. The responses investigate how contemporary technologies allow increasingly complex perceptual and technological understandings of network concepts, ideologies, strategies, and topologies to be explored within network music. The thesis also contains description, critical reflection, and analysis of one original artwork, which investigates a theme that emerged during the research process. The original work explores how a performance topology, adapted from the field of machine learning, alters the perception and interpretation of the network for involved agents, as well as analysing the impact it has on the participants, and performance process.The works included with this thesis constitute the portfolio and they are the creation of the author.
|Date of Award||Feb 2017|
- Queen's University Belfast
|Supervisor||Pedro Rebelo (Supervisor) & Justin Yang (Supervisor)|