Algorithmic Music
Algorithmic music is a compositional approach where music is generated or structured using algorithms, rules, or computational processes, often involving randomness, mathematical formulas, or artificial intelligence. It encompasses techniques like generative music, procedural audio, and computer-assisted composition, enabling the creation of dynamic, evolving, or data-driven soundscapes. This concept is applied in fields such as video game soundtracks, interactive installations, and experimental art.
Developers should learn algorithmic music to create adaptive audio systems for games, apps, or immersive experiences where music needs to respond to user input or environmental changes in real-time. It's also valuable for data sonification projects, where complex datasets are translated into auditory patterns for analysis or artistic expression, and for exploring creative coding in music production tools like Max/MSP or Pure Data.