Collins Conference Room
  US Mountain Time
Marco Buongiorno Nardelli (University of North Texas)

Our campus is closed to the public for this event.

Abstract: In this talk I will discuss a generalization of the concept of musical spaces as networks, and derive functional principles of compositional design by the direct analysis of the network topology. This approach provides a novel framework for the analysis and quantification of similarity of musical objects and structures, and suggests a way to relate such measures to the human perception of different musical entities. Finally, the analysis of a single work or a corpus of compositions as complex networks provides alternative ways of interpreting the compositional process of a composer by quantifying emergent behaviors with well-established statistical mechanics techniques. Interpreting the latter as probabilistic randomness in the network, we can model behaviors that mimic algorithmically the music composition process.

This work provides a novel perspective on the foundations of music theory, analysis and composition in the broader framework of network theory, machine learning and artificial intelligence.

Those unable to attend can stream the lecture from Twitter and our YouTube page.

Research Collaboration
SFI Host: 
Jennifer Dunne

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