Gbachelier: /* Abstract */

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‎Abstract

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== Reference ==
Fabio De Felice, Fabio Abbattista, Francesco Scagliola: [[GenOrchestra: An Interactive Evolutionary Agent for Musical Composition]]. In: [[Generative Art 2002]].

== DOI ==

== Abstract ==
GenOrchestra is a project involving the Dipartimento d’Informatica and Conservatorio di
Musica “N. Piccinni” in Bari. This project concern a Creative Evolutionary System, based on
Evolutionary Computation (EC) techniques, applied to the field of western tonal music. With
GenOrchestra a novel way to evaluate the produced tunes is presented: indeed we adopt a
hybrid solution composed for two kinds of fitness functions. The first, called technique
fitness, evaluates the consonance degree between melodic, harmonic and rhythmic sections,
moreover, it defines how well the rhythmic paths is organized into a coherent musical event.
The second fitness function called human fitness, determine how well the tunes are perceived
from a human audience, like in a concert. This task is accomplished by presenting the tunes
on the Internet and then gathering the surfers evaluations in a database from which the system
take the final population scoring. This, coupled with a no limited musical primordial soup,
makes GenOrchestra a promising eclectic artificial composer. The ultimate goal of this
project, currently in progress, is the development of a very human-like composer, which can
produce music in any musical genre, and which is able to show a “personal style”. Samples
will be soon available at http://valis.di.uniba.it/GenOrchestra/samples.html

== Extended Abstract ==

== Bibtex ==

== Used References ==
[1] J. Biles, GenJam : A Genetic Algorithm for Generating Jazz Solos. In Proc. of the
International Computer Music Conference, 1994.

[2] J. Biles, P. G. Anderson, L. W. Loggi, Neural Network Fitness Functions for a Musical
IGA. In Proc. of the International ICSC Symposium on Intelligent Industrial Automation and
Soft Computing, 1996, pp. B39--B44.

[3] J. Biles, Autonomous GenJam: Eliminating the Fitness Bottleneck by Eliminating Fitness,
Workshop on Non-routine Design with Evolutionary Systems, Genetic and Evolutionary
Computation Conference, 2001.

[4] A. Camurri, P. Ferrentino, R. Dapelo, A Computational Model of artificial emotions. In
Proc. of Kansei-The Technology of Emotion, AIMI International Workshop, 1997, pp 16-23.

[5] J. Cassell, J. Sullivan, S. Prevost, E. Churchill, Embodied Conversational Agent. The MIT
Press, 2000.

[6] J. Holland, Adaptation in natural and artificial systems. Ann Arbor: The University of
Michigan Press, 1975.

[7] A. Moroni, J. Manzoulli, F. Von Zuben, R. Gudwin, Vox Populi: Evolutionary
computation for music evolution. In P.J. Bentley, D. W. Corne, Creative evolutionary
Systems, Morgan Kaufmann, 2002, pp. 205-221.

[8] G. Vidyamurthy, J. Chakrapani, Cognition of tonal centers: A fuzzy approach. Computer
Music J. Vol. 16, n° 2, 1992, pp. 45-50.

== Links ==
=== Full Text ===
http://www.generativeart.com/on/cic/papersGA2002/17.pdf

[[intern file]]

=== Sonstige Links ===

@@ Zeile 19: / Zeile 19: @@
 project, currently in progress, is the development of a very human-like composer, which can
 produce music in any musical genre, and which is able to show a “personal style”. Samples
-will be soon available at http://valis.di.uniba.it/GenOrchestra/samples.html
+will be soon available at http://valis.di.uniba.it/GenOrchestra/samples.html (404)
 == Extended Abstract ==

GenOrchestra: An Interactive Evolutionary Agent for Musical Composition - Versionsgeschichte

Gbachelier: /* Abstract */

Gbachelier: Die Seite wurde neu angelegt: „== Reference == Fabio De Felice, Fabio Abbattista, Francesco Scagliola: GenOrchestra: An Interactive Evolutionary Agent for Musical Composition. In: Gene…“