Johnson, Colin G. (2021) Aesthetics, Artificial Intelligence, and Search-based Art. In: Machado, Penousal and Romero, Juan and Greenfield, Gary, eds. Artificial Intelligence and the Arts: Computational Creativity, Artistic Behavior, and Tools for Creatives. 1st edition. Computational Synthesis and Creative Systems . Springer, Cham, pp. 27-60. ISBN 978-3-030-59474-9. (doi:10.1007/978-3-030-59475-6_2) (KAR id:76668)
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Official URL: https://doi.org/10.1007/978-3-030-59475-6_2 |
Abstract
Why do people exhibit particular behaviour towards a class of objects called artworks? That is the topic of study in aesthetics. This paper explores how various theories of aesthetics can be interpreted in the context of artworks generated by artificial intelligence systems, in particular those that are grounded in the idea of search as a means of implementing intelligence computationally. A number of aesthetic theories are explored, including ideas of imitation, skill, form, expression, imagination, and focus. The paper concludes by highlighting a number of areas that, in light of these considerations, have been neglected by the makers of computer art systems and which provide future opportunities in this area.
Item Type: | Book section |
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DOI/Identification number: | 10.1007/978-3-030-59475-6_2 |
Uncontrolled keywords: | Artificial intelligence, computational creativity, computational arts, visual arts |
Subjects: |
N Visual Arts > N Visual arts (General). For photography, see TR Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Colin Johnson |
Date Deposited: | 20 Sep 2019 16:13 UTC |
Last Modified: | 05 Nov 2024 12:41 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/76668 (The current URI for this page, for reference purposes) |
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