Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems

Johnson, Colin G. and McCormack, Jon and Santos, Iria and Romero, Juan (2019) Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems. Complexity, 2019 . ISSN 1076-2787. (doi:https://doi.org/10.1155/2019/3495962) (Full text available)

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Abstract

One of the general aims of evolutionary art research is to build a computer systems capable of creating interesting, beautiful or creative results, including images, videos, animations, text, and performances. In this context it is crucial to understand how fitness is conceived and implemented to explore the ‘interestingness’, beauty or creativity that the system is capable of. In this paper we survey the recent research on fitness for evolutionary art related to aesthetics. We also cover research in the psychology of aesthetics, including relation between complexity and aesthetics, measures of complexity and complexity predictors. We try to establish connections between human perception and understanding of aesthetics with current evolutionary techniques.

Item Type: Article
Subjects: M Music and Books on Music > M Music
N Fine Arts > N Visual arts (General) For photography, see TR
Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing
Depositing User: Colin Johnson
Date Deposited: 04 Mar 2019 15:20 UTC
Last Modified: 21 Mar 2019 15:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72848 (The current URI for this page, for reference purposes)
Johnson, Colin G.: https://orcid.org/0000-0002-9236-6581
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