Musical Automata as Dynamical Systems

  • Authors:
  • David M. Michael

  • Affiliations:
  • University of Sussex, UK

  • Venue:
  • Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
  • Year:
  • 2006

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Abstract

This paper explores the use of dynamical systems as a framework for understanding how musically autonomous behavior can be achieved in artifact. Just as dynamics has offered a breakout strategy for the perceived limitations of artificial intelligence, so too can dynamics offer a solution to the current limitations of autonomous generative music systems. By studying the biophysics of birdsong, a dynamics-based agent template is developed with particular focus given to the actuator