In this work, we describe an application to automatically generate chord progressions with an artificial immune system (AIS).


We propose a penalty function that encodes rules about chord construction as vertical constraints and chord progression as horizontal constraints. Then we use the AIS to find chords that minimize the penalty function and propose the next chord in a sequence as a minimum-penalty chord, given the sequence as input. The AIS used is opt-aiNet, an immunological algorithm capable of finding multiple optima in parallel upon convergence, resulting in several chords as candidates for the next in the sequence.



A Musical Composition Model Based on Virtual Organizations System to Assist Novice Improvisers.


Maria Navarro, Juan M. Corchado and Yves Demazeau

Proceedings of the Fifth International Conference on Computational Creativity . pp. 108-111.

Publication date: 






Posted by Juan M. Corchado

Catedrático en el Área de Ciencias de la Computación e Inteligencia Artificial de la Universidad de Salamanca. Director del Grupo de Investigación BISITE // Full Professor in Area of Computer Science and Artificial Intelligence at University of Salamanca. Director of the BISITE Research Group

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