Preprint / Version 1

Algorithmic Art: The Formation of the Genre and Its Perception in Contemporary Society

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  • Arina Ospanova kazak

DOI:

https://doi.org/10.58445/rars.2706

Keywords:

algorithmic art, generative art, digital aesthetics, artificial intelligence, conceptual art, computational creativity

Abstract

Algorithmic art is a form of creativity in which the pattern is generated according to a predetermined sequence of mathematical instructions (an algorithm). The aim of this study is to analyze the nature and history of algorithmic art, as well as to examine how this phenomenon is perceived by contemporary audiences. A comprehensive approach was applied in this work: a literature review on the history and theories of algorithmic art was conducted, along with an empirical study — a survey of 65 participants aged 11 to 70. The methodology included a descriptive analysis of sources and a quantitative study of public opinion using statistical processing. The results show that algorithmic art bridges science and creativity, highlighting the role of process and randomness in image generation. Most respondents from older age groups (over 30) recognized algorithmic art as an independent genre, while opinions among younger participants were more divided. The findings confirm that algorithmic art lies at the intersection of culture and technology: although it is actively developing and gaining popularity, public opinion about it remains ambiguous, partly due to questions of authorship and artistic value.

References

Ars Electronica. (n.d.). Ars Electronica Festival. https://ars.electronica.art

Artamonova, I. A. (n.d.). Трансформация эстетических ценностей в алгоритмической эстетике. Культурология. https://cyberleninka.ru/article/n/transformatsiya-esteticheskih-tsennostey-v-algoritmicheskoy-estetike

Borderless. (n.d.). teamLab Borderless. https://borderless.teamlab.art

Centre Pompidou. (n.d.). https://www.centrepompidou.fr/

Christie’s. (n.d.). https://www.christies.com

Computer Arts Society. (n.d.). https://www.computerart.org

Cycling ’74. (n.d.). Max/MSP. https://cycling74.com

DAM. (n.d.). Jean-Pierre Hébert. https://dam.org/museum/artists_ui/artists/hebert-jean-pierre/

Digital Art Archive. (n.d.). https://www.digitalartarchive.at

El País. (2024, November 30). Cómo el algoritmo ha arruinado tu bar favorito: Estamos condenados a que todo se parezca a todo. https://elpais.com/icon/2024-11-30/como-el-algoritmo-ha-arruinado-tu-bar-favorito-estamos-condenados-a-que-todo-se-parezca-a-todo.html

Elgammal, A., Liu, B., Elhoseiny, M., & Mazzone, M. (2017). CAN: Creative adversarial networks, generating “art” by learning about styles and deviating from style norms. arXiv preprint. https://arxiv.org/abs/1706.07068

Galanter, P. (2003). What is generative art? Complexity theory as a context for art theory. In GA2003 – 6th Generative Art Conference. http://www.philipgalanter.com/downloads/ga2003_paper.pdf

Galanter, P. (2019). Complexity and the experience of meaning. MIT Press. https://mitpress.mit.edu/9780262232383/

Google Arts & Culture. (n.d.). Algorithmic Art – ZKM. https://artsandculture.google.com/story/algorithmic-art-zkmkarlsruhe/2gXBp4XkgyBNCQ?hl=en

Hertzmann, A. (2018). Can computers create art? ACM Transactions on Graphics (TOG), 37(4), Article 111. https://doi.org/10.1145/3305366

Intelligent Agent. (n.d.). Generativity: Art with rules and constraints. http://www.intelligentagent.com/archive/Vol4_No1_generativity_verostko.htm

Malakhov, V. S. (n.d.). Искусство и наука как предмет эстетической гносеологии. Вестник философии. https://cyberleninka.ru/article/n/iskusstvo-i-nauka-kak-predmet-esteticheskoy-gnoseologii

MIT Press. (2019). Artificial intelligence: A guide for thinking humans. https://mitpress.mit.edu/9780262039302/

MSCA. (n.d.). How to understand contemporary art. https://msca.ru/blog/articles/how-to-understand-contemporary-art

MUTEK. (n.d.). https://www.mutek.org/

OpenFrameworks. (n.d.). https://openframeworks.cc

P5.js. (n.d.). https://p5js.org

Processing Foundation. (n.d.). https://processing.org

Python Software Foundation. (n.d.). https://python.org

Sotheby’s. (n.d.). https://www.sothebys.com

The Wrong. (n.d.). https://www.thewrong.org

Transmediale. (n.d.). https://www.transmediale.de

Tyler Hobbs. (n.d.). Official site. https://tylerxhobbs.com

Verostko, R. (n.d.). Generativity: Art with rules and constraints. http://www.intelligentagent.com/archive/Vol4_No1_generativity_verostko.htm

Wikipedia. (n.d.). Roman Verostko. https://en.wikipedia.org/wiki/Roman_Verostko

ZKM. (n.d.). https://zkm.de/en

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Posted

2025-07-06