This research explores the balance and points of convergence between “traditional” composition (intended as music created by human beings) and algorithmically generated composition in a live performance context, with particular attention to moments of transition. To achieve this, I worked directly with my own compositions, using a coding environment (SuperCollider) to generate transitions based on live-recorded instruments, which are then manipulated through different parameters in order to connect the pieces. The final goal of this process is to obtain a continuous performance in which “traditional” and algorithmically generated music coexist within a coherent and unified system.From a historical perspective, I first analyse the development of algorithmic music across the centuries, starting from early practices involving dice and mathematical procedures, and progressing through Serialism and computer music. I then examine how different musicians have approached the use of transitions and electronics in their work, both in jazz and pop contexts. These ideas are subsequently applied to my own music through a series of experiments performed in different settings, including a live concert in Milan.This research demonstrates how two worlds that may appear distant, such as jazz and computer music, can be combined to provide composers and performers with new tools and creative scenarios to explore. keywords: Jazz composition, Algorithmic Composition, live performance, musical transitions
Francesco Sensi (Tue,) studied this question.