Adaptive Critics for Evolutionary Artists

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Reference

Machado, Penousal; Romero, Juan; Santos, Maria Luisa; Cardoso, Amilcar; Manaris, Bill: Adaptive Critics for Evolutionary Artists. In: EvoMUSART 2004, S. 437-446.

DOI

http://link.springer.com/10.1007/978-3-540-24653-4_45

Abstract

We focus on the development of artificial art critics. These systems analyze artworks, extracting relevant features, and produce an evaluation of the perceived pieces. The ability to perform aesthetic judgments is a desirable characteristic in an evolutionary artificial artist. As such, the inclusion of artificial art critics in these systems may improve their artistic abilities. We propose artificial art critics for the domains of music and visual arts, presenting a comprehensive set of experiments in author identification tasks. The experimental results show the viability and potential of our approach.

Extended Abstract

Bibtex

Used References

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Romero, J., Machado, P., Santos, A., Cardoso, A.: On the Development of Critics in Evolutionary Computation Systems. In: Raidl, G.R., Cagnoni, S., Cardalda, J.J.R., Corne, D.W., Gottlieb, J., Guillot, A., Hart, E., Johnson, C.G., Marchiori, E., Meyer, J.-A., Middendorf, M. (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)

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