CISUC

Partially Interactive Evolutionary Artists

Authors

Penousal Machado
Juan Jesus Romero
F. Amilcar Cardoso
Antonino Santos

Abstract

User fatigue is probably the most pressing problem in current
Interactive Evolutionary Computation systems. To address it we
propose the use of automatic seeding procedure, phenotype filters, and
partial automation fitness assignment. We test this approaches in the
visual arts domain. To further enhance interactive evolution applications
in aesthetic domains, we propose the use of artificial art critics ' systems
that perform stylistic and aesthetic valuations of art ' presenting
experimental results.

Subject

Evolutionary Art

Journal

New Generation Computing, Special Issue on Interactive Evolutionary Computation, H. Takagi, January 2005

Cited by

Year 2015 : 1 citations

 [PDF] Evolutionary design assistants for architecture
N Onus Sönmez - 2015 - repository.tudelft.nl

Year 2013 : 3 citations

 den Heijer, Eelco. Autonomous Evolutionary Art. PhD Thesis, Vrije Universiteit. 2013

 Dorin, Alan. "Aesthetic selection and the stochastic basis of art, design and interactive evolutionary computation." Proceeding of the fifteenth annual conference on Genetic and evolutionary computation conference. ACM, 2013.

 Liapis, Antonios, et al. "Adaptive Game Level Creation through Rank-based Interactive Evolution." Proceedings of the IEEE 4.5: 71-78.

Year 2012 : 3 citations

 ** Galanter, Philip. "Computational aesthetic evaluation: past and future." Computers and Creativity. Springer Berlin Heidelberg, 2012. 255-293.

 Adapting Models of Visual Aesthetics for Personalized Content Creation
A Liapis, G Yannakakis, J Togelius - 2012 - ieeexplore.ieee.org

 Modelling the underlying principles of human aesthetic preference in evolutionary art
A Ekárt, A Joó, D Sharma… - Journal of Mathematics and …, 2012 - Taylor & Francis

Year 2011 : 1 citations

 A. Ekárt, D. Sharma, and S. Chalakov. Modelling human preference in evolutionary art. In C. D. Chio, A. Brabazon, G. A. D. Caro, R. Drechsler, M. Farooq, J. Grahl, G. Greenfield, C. Prins, J. Romero, G. Squillero, E. Tarantino, A. G. Tettamanzi, N. Urquhart, and A. ¸Sima Uyar, editors, Applications of Evolutionary Computation, volume 6625 of Lecture Notes in Computer Science, pages 303–312. Springer, 2011.

Year 2010 : 1 citations

 Philip Galanter, The Problem of Evolutionary Art Is…, in: C. Di Chio et al. (eds.): EvoApplications (Applications of Evolutionary Computation) 2010, Part II, in: LNCS (Lecture Notes in Computer Science) 6025. Berlin/Heidelberg 2010, p. 321-330

Year 2009 : 1 citations

 Philip Galanter, Truth to Process – Evolutionary Art and the Aesthetics of Dynamism, Generative Art Conference GA2009, Milan

Year 2008 : 1 citations

 Somlak Wannarumon, Erik L.J. Bohez and Kittinan Annanon (2008). Aesthetic evolutionary algorithm for fractal-based user-centered jewelry design. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 22 , pp 19-39
doi:10.1017/S0890060408000024

Year 2007 : 1 citations

 Matthew Lewis, "Evolutionary Visual Art and Design", in "The Art of Artificial Evolution", Romero and Machado (Eds.), Natural Computing Series, Springer, 2007.