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id ga9924
authors Cardalda, Juan Jesus Romero J.J.
year 1999
title Artificial Music Composer
source International Conference on Generative Art
summary Traditional Musical Computation Systems had to face the differences between the computational techniques and the characteristics of musical creation. Characteristics such as a high degree of subjectivity, a great irrational component, and a learning process based on the use of examples and environmental absorption, have made music difficult to be formalized through algorithmic methods or classical Artificial Intelligence methods such as Expert Systems. We propose the creation of a cybernetic model of a human composer in a primeval stage of human musical evolution, following a paradigm of cognitive complex models creation, based on the use of the human reference, not only in a static point of view but also considering its evolution through time. Therefore, the proposed system simulates musical creation in one of the first stages of musical evolution, whose main characteristics are the percussive and choral aspects. The system is based on Genetic Algorithms, whose genetic population is integrated by several tribes. This model carries out the task of musical composition, led by the user who expresses his/her musical taste assigning a punctuation to each tribe. The GA selects the worse tribes as individuals to be eliminated. In order to select those tribes which are going to be used as parents, a random function is used, having each tribe a probality proportional to its punctuation. The new tribe is produced by crossing the parent tribes in each individual. Afterwards, mutation takes place in the created individuals. The experiments carried out with this system have proved its functionality in the composition of rhythmic patterns. It is intended to enlarge the experiment's scope by communicating the system via Internet. This would enable its use by users of different musical cultures, taking into account that the system is user-friendly, since it requires no musical knowledge.
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