Organic Algorithmic Composition

https://aimc2023.pubpub.org/pub/7zvfxnal “Organic Algorithmic Composition” is not just a musical composition. Instead, it is a sonic exploration that raises the question of whether sounds can self-organize within a given system. A continuous chain of musical possibilities is generated with a simulation of one of the slime molds, "Physarum Polycephalum.” The stages of generation and modulation will be implemented with Physarum’s decision-making method with a multi-agent model. In generation/modulation stages are operated with several agent-based algorithms to get a correlation. So that It generates non-linear musical behavior in each phase, creating unique musical patterns. Simulations of Physarum (a genus of slime molds) and Rave(Callion, Phillipe 2021) Autoencoder are played in parallel. They converge, diverge, or neglect and oscillate within a system. This local oscillation creates unique sound patterns: harmonized feedback, smearing, and displacements. Physarum simulation data transforms into sounds. It controls sound oscillation, modulation, and the nonlinear musical behavior of each phase, creating unique musical patterns underlying the principle of Self-organizing in music that Interwining Organisms and Modern computational functions in AI. For the AI, Ircam's Rave Autoencoder will be implemented for sound processing with live performance to achieve Sound's self-organizing like organisms. The interconnection between the simulation of physarum and Rave under the principals of nonlinear, bottom-up approaches in a music compositional system explores the new auditory domain. It unfolds the possible connections between humans and non-humans, objects and organisms, and reality and non-reality. It intertwines machine algorithms with sound and uses the principles of an organism's behavior to expand the possibilities of self-organizing sound and the organicity of sounds in space