Gelisp: A Library to Represent Musical CSPs and Search Strategies
Artificial Intelligence
2015-10-13 v1
Abstract
In this paper we present Gelisp, a new library to represent musical Constraint Satisfaction Problems and search strategies intuitively. Gelisp has two interfaces, a command-line one for Common Lisp and a graphical one for OpenMusic. Using Gelisp, we solved a problem of automatic music generation proposed by composer Michael Jarrell and we found solutions for the All-interval series.
Keywords
Cite
@article{arxiv.1510.02828,
title = {Gelisp: A Library to Represent Musical CSPs and Search Strategies},
author = {Mauricio Toro and Camilo Rueda and Carlos Agón and Gérard Assayag},
journal= {arXiv preprint arXiv:1510.02828},
year = {2015}
}
Comments
7 pages, 2 figures, not published