Creative DNA Computing

The search for artificial or mechanical intelligence, i.e., the attempt to equip machines with intelligence, which has led to the birth of Artificial Intelligence (AI), encompasses the endeavor of reproducing human beings' creativity. There exist several examples of human activities in which creativity plays a fundamental role, such as strategic ability in games, intuition in mathematical calculations, and inspiration in the creation of artistic works. Among these, the musical composition ability represents a challenging task for the AI community.

In this research area, unconventional models of computation have shown to be able to provide amazing solutions in unexpected and natural ways. Approaches inspired by chemical, biological and physical systems have been studied and include, but are not limited to, quantum computing and DNA computing.

Recently, splicing systems, a formal model of a recombination process between DNA molecules, have been used to compose classical music, jazz music and to reproduce musical styles, arriving, in some cases, at outperforming well-known meta-heuristics. In this context we have defined several music splicing composer for classical, jazz music and for style reproduction.

Clelia De Felice, Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza.
Splicing Music Composition.
Information Sciences, vol. 385-386, p. 196-212 (2017), ISSN: 0020-0255, doi: 10.1016/j.ins.2017.01.004.

Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza.
A Kind of Bio-inspired Learning of mUsic stylE.
6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART 2017), Amsterdam, The Netherlands, April 19-21, 2017: 97-113.

Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza.
Splicing-Inspired Recognition and Composition of Musical Collectives Styles.
TPNC 2017: 219-231.

Clelia De Felice, Roberto De Prisco, Delfina Malandrino, Gianluca Zaccagnino, Rocco Zaccagnino, Rosalba Zizza.
Chorale Music Splicing System: An Algorithmic Music Composer Inspired by Molecular Splicing.
EvoMUSART 2015: 50-61.