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.
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Penousal Machado: He is a researcher at Centre for Informatics and Systems of the University of Coimbra (CISUC). He is the author of more than 20 journals and conference papers, and chair of several international workshops. His main research interest is the study and development of evolutionary approaches to creativity and artificial art.
Juan Romero, Ph.D.: He is the founder of the “Creative Computer Group” of the RNASA Lab. His present research focuses on (i) Hybrid Society, which consists of an egalitarian society composed of creative computers and human beings (ii) Artificial Art, using artificial art critics and creators based on connectionist and evolutionary techniques.
Amílcar Cardoso, Ph.D.: He is an Associate Professor at the Department of Informatics Engineering of the University of Coimbra. He is the leader of the CISUC AILab, and founder of the Creative Systems Group. His main research interest is the study and implementation of computer models of creativity. He has background as professional musician and composer.
Antonino Santos, Ph.D.: He is the author/editor of more than 25 articles and 7 books. He participated as researcher in 7 funded research proposals concerning to Artificial Intelligence, Neural Networks and Internet Security. His present research focuses in hybrid systems, creative systems, computer security, artificial neural networks and evolutionary computation.
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Machado, P., Romero, J., Cardoso, A. et al. Partially interactive evolutionary artists. New Gener Comput 23, 143–155 (2005). https://doi.org/10.1007/BF03037491
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DOI: https://doi.org/10.1007/BF03037491