Imaginary Miles: Modeling Musebots after Musicians Arne Eigenfeldt School for the Contemporary Arts Simon Fraser University, Vancouver, Canada
[email protected] ABSTRACT ing and simulation [4]. One facet of computational musi- cology is to prove the validity of the derived model Musebots are autonomous musical agents that interact through generation [5]; however, it should be pointed out with other musebots to create music. Inaugurated in that its specific goals are different from those of the pro- 2015, musebots are now an established practice in the duction systems found within MuMe, in that the resulting field of musical metacreation, which aims to automate generation is not meant to have artistic validity. aspects of creative practice. Musebots have been present- The work described in this paper is firmly within the ed as continuously running installations, in which ensem- MuMe field: while using methods derived from machine- bles, curated from the pool of community-coded agents, learning to produce a loose model of a specific stylistic interact autonomously with one another for five to seven corpus, the goal is not to exactly reproduce the model; minutes, emphasising their (often) disparate styles. Imag- instead, the model is a starting point for more general inary Miles, while continuing the musebot tradition of compositional explorations of musical agent relation- open-source development, presents musebots coded only ships. by the author. Furthermore, the generated style is quite explicit – late 1960s jazz, specifically the Miles Davis 1.3 Musebots groups of that era. While individual musebots are mod- elled after specific musicians, Imaginary Miles is not an The open source musebot protocol1 was originally devel- effort at computational musicology that attempts to per- oped to coordinate generative music software ensembles fectly replicate its models; instead, the ensemble’s unique [6] and facilitate modularised prototyping of designs [7].