Emergent Behavior from Idiosyncratic Feedback Networks

Traditional waveguide networks are designed for stability and p redictability. However, idiosyncratic variations to feedback network structures become possible when peak gain is controlled throughout the network by nonlinear waveshaping functions. These functions facilitate destabilizing changes to the network gain structure and topology, producing unpredictable behavior with interesting applications in composition and improvisation. These applications suggest f urther extensions to the waveguide network model, including nonstandard excitation functions, control parameters, and spatialization techniques.