Anticipation in collaborative music performance using fuzzy systems: a
  case study
  In order to collaborate and co-create with humans, an AI system must be
capable of both reactive and anticipatory behavior. We present a case study of
such a system in the domain of musical improvisation. We consider a duo
consisting of a human pianist accompained by an off-the-shelf virtual drummer,
and we design an AI system to control the perfomance parameters of the drummer
(e.g., patterns, intensity, or complexity) as a function of what the human
pianist is playing. The AI system utilizes a model elicited from the musicians
and encoded through fuzzy logic. This paper outlines the methodology, design,
and development process of this system. An evaluation in public concerts is
upcoming. This case study is seen as a step in the broader investigation of
anticipation and creative processes in mixed human-robot, or "anthrobotic"
systems.
