EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 05. AI.MED-08: AI, Neuro Sciences, Med. Info., & Biomed. Eng. Congress, Coruña, Spain-Carleton, Canada-Stanford, USA, 2021 of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
23 Nov, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Nereida Rodriguez-Fernandez, Iria Santos, Alvaro Torrente-Patiño, María Luz Castro Pena, Creative Computing and Computational Aesthetics, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-11849
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Creative Computing and Computational Aesthetics

image
María Luz Castro Pena 1,2
1. RNASA-IMEDIR
2. UDC
Abstract

Albert Szent-Györgyi defined a creative act as ‘seeing what everyone else has seen and thinking as no one else has thought’. Would a machine be able to perform a creative act? Ada Lovelace, considered the first woman programmer, proposed almost 200 years ago the use of computers for artistic creative tasks, specifically musical ones. In recent years, our research group has been working on the creation of artificial artists and critics, as well as on classifiers and predictors of complexity and aesthetics. Automatic prediction of the aesthetic value of images has received increasing attention in recent years. This has come about, in part, because of the potential impact that aesthetic value has on practical applications. An aesthetic image evaluation system has been developed in recent years by our research group and has recently been tested for its potential and effectiveness in practical applications for commercial tasks. The results suggest an increase in the impact of advertisements using aesthetic criteria.

Keywords
creative computing
artificial artist
aesthetic value
image
Manuscript
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