Abstract
The lack of a social context is a drawback in current Interactive Evolutionary Computation systems. In application areas where cultural characteristics are particularly important, such as visual arts and music, this problem becomes more pressing. To address this issue, we analyze variants of the traditional Interactive Evolutionary Art approach – such as multi-user, parallel and partially interactive approaches – and present an extension of the traditional Interactive Evolutionary Computation paradigm. This extension incorporates users and systems in a Hybrid Society model, that allows the interaction between multiple users and systems, establishing n − m relations among them, and promotes cooperation.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bentley, P., Corne, D. (eds.): Creative Evolutionary Systems. Morgan Kaufman, San Francisco (2001)
Johnson, C., Romero, J.: Genetic algorithms in visual art and music. Leonardo 35(2), 175–184 (2002)
Todd, P.M., Werner, G.M.: Frankensteinian methods for evolutionary music composition. In: Musical networks, pp. 313–339. MIT Press, Cambridge (1999)
Pazos, A., Santos, A., Arcay, B., Dorado, J., Romero, J., Rodríguez, J.: An application framework for building evolutionary computer systems in music. Leonardo 36(1), 61–64 (2003)
Machado, P., Romero, J., Manaris, B., Santos, A., Cardoso, A.: Power to the critics — A framework for the development of artificial art critics. In: IJCAI 2003 Workshop on Creative Systems, Acapulco, Mexico (2003)
Romero, J.: Metodología Evolutiva para la Construcción de Modelos Cognitivos Complejos. Exploración de la Creatividad Artificial en Composición Musical. PhD thesis, University of Corunha, Corunha, Spain (2002) (in Spanish)
Biles, J.: GenJam Populi: Training an IGA via audience-mediated performance. In: Proceedings of International Computer Music Conference, pp. 347–348. International Computer Music Association (1996)
Machado, P., Romero, J., Cardoso, A., Santos, A.: Partially interactive evolutionary artists. New Generation Computing – Special Issue on Interactive Evolutionary Computation 23(42), 143–155 (2005)
Romero, J., Machado, P., Santos, A., Cardoso, A.: On the development of critics in evolutionary computation artists. In: Raidl, G.R., et al. (eds.) EvoIASP 2003, EvoWorkshops 2003, EvoSTIM 2003, EvoROB/EvoRobot 2003, EvoCOP 2003, EvoBIO 2003, and EvoMUSART 2003. LNCS, vol. 2611, pp. 559–569. Springer, Heidelberg (2003)
Machado, P., Romero, J., Santos, A., Cardoso, A., Manaris, B.: Adaptive critics for evolutionary artists. In: Raidl, G.R., et al. (eds.) EvoWorkshops 2004. LNCS, vol. 3005, pp. 435–444. Springer, Heidelberg (2004)
Manaris, B., Romero, J., Machado, P., Krehbiel, D., Hirzel, T., Pharr, W., Davis, R.: Zipf’s law, music classification and aesthetics. Computer Music Journal 29(1), 55–69 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Romero, J., Machado, P., Santos, A. (2009). On the Socialization of Evolutionary Art. In: Giacobini, M., et al. Applications of Evolutionary Computing. EvoWorkshops 2009. Lecture Notes in Computer Science, vol 5484. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01129-0_62
Download citation
DOI: https://doi.org/10.1007/978-3-642-01129-0_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01128-3
Online ISBN: 978-3-642-01129-0
eBook Packages: Computer ScienceComputer Science (R0)