AI Methods in Algorithmic Composition: A Comprehensive Survey
This survey offers a thorough overview for AI researchers interested in algorithmic composition, but it is incremental as it compiles existing knowledge without introducing new methods.
The paper provides a comprehensive survey of AI methods used in algorithmic composition, covering techniques from grammatical representations to neural networks and evolutionary algorithms since the 1950s.
Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks, symbolic rule-based systems, constraint programming and evolutionary algorithms. This survey aims to be a comprehensive account of research on algorithmic composition, presenting a thorough view of the field for researchers in Artificial Intelligence.