Inspirations: The Art of Randomness

Conversations on Chaos
By fito_segrera

Markov Chain poetry from Randomness (Segrera, 2016)

Conversations on Chaos is an artwork based on representation of randomness. It consists of two main parts: A pendulum suspended over multiple electromagnetic oscillators. The software also implements the use of Markov Chains, enabling the system to create a human-like ‘voice’, and bringing meaning back into chaos.  (Segrera, 2015) Together, this creates a system of ‘two machines that hold a dynamic conversation about chaos’. (Visnjic, 2018)

Codex Seraphinianus
By Luigi Serafini, 1981

Excerpt from Codex Seraphinianus (Serafini and Notini, 1981)

Codex Seraphinianus is a book written in an invented language with no translation. It also has a collection of visuals; some familiar, some not. The format of the book is reminiscent of a guide book or scientific text. (Jones, 2018) The book could be interpreted as an introduction to an alien or alternate reality with influences from our own.

Neural Network Critters
By Eddie Lee


Video: Neural Network Critters! by Eddie Lee (Lee, 2017)

Neural Network Critters is a visual example of how neural networks can be used to make art. In this free program, a series of ‘critters’ are created. (Visnjic, 2018) The ones that are fittest (i.e. make it furthest through the maze) are asexually reproduced until they make it to the end of the maze. (Lee, 2018)

School for Poetic Computation (SFPC)

The School for Poetic Computation is a small school based in New York, that aims to bring together art and computing.  (Sfpc.io, 2018)


References:

Jones, J. (2018). An Introduction to the Codex Seraphinianus, the Strangest Book Ever Published. [online] Open Culture. Available at: http://www.openculture.com/2017/09/an-introduction-to-the-codex-seraphinianus-the-strangest-book-ever-published.html [Accessed 11 Feb. 2018].

Lee, E. (2018). Neural Network Critters by Eddie Lee. [online] itch.io. Available at: https://eddietree.itch.io/neural-critters [Accessed 11 Feb. 2018].

Lee, E. (2017). Neural Network Critters – Vimeo. Available at: https://vimeo.com/225961685 [Accessed 11 Feb. 2018].

Serafini, L. and Notini, S. (1981). Codex seraphinianus. New York: Abbeville Press, p.98.

Segrera, F. (2015). Conversations on Chaos. [online] Fii.to. Available at: http://fii.to/pages/conversations-on-chaos.html [Accessed 10 Feb. 2018].

Segrera, F. (2016). Conversations on Chaos. [image] Available at: http://www.creativeapplications.net/linux/conversations-on-chaos-by-fito-segrera/ [Accessed 11 Feb. 2018].

Sfpc.io. (2018). SFPC | School for Poetic Computation. [online] Available at: http://sfpc.io [Accessed 11 Feb. 2018].

Visnjic, F. (2018). Neural Network Critters by Eddie Lee. [online] CreativeApplications.Net. Available at: http://www.creativeapplications.net/news/neural-network-critters-by-eddie-lee/ [Accessed 11 Feb. 2018].

Visnjic, F. (2018). Conversations On Chaos by Fito Segrera. [online] CreativeApplications.Net. Available at: http://www.creativeapplications.net/linux/conversations-on-chaos-by-fito-segrera/ [Accessed 11 Feb. 2018].

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Artworks from Code

Moon 

ai-weiwei-olafur-eliasson-moon-designboom-03

Moon up close (Designboom, 2014)

Moon is an interactive installation piece created by Olafur Eliasson and Ai Weiwei. It invites viewers from around the globe to draw and explore a digital “Moonscape”. (Feinstein, 2014)

Eliasson and Weiwei’s work is focused around community and the link between the online and offline world. (Austen, 2013)

Over the course of its 4 years of existence, Moon grew from simple doodles and drawings, to collaborations & clusters of work, such as the “Moon Elisa”, where multiple users came together to recreate the classic Mona Lisa painting. (Cembalest, 2013)

“The moon is interesting because it’s a not yet habitable space so it’s a fantastic place to put your dreams.” – Olafur Eliasson, on Moon (Feinstein, 2014)

Library of Babel
By Jonathan Basile

The Library of Babel is a website based on Borge’s “The Library of Babel” (Borges, 2018); a theoretical piece about a library containing every possible string of letters. It is theorized that the books contain every word that has ever been said and will ever be said, translations of every book ever written, and the true story of everyone’s death. (Basile, 2018)

babel

A section of the Library of Babel (Basile, 2018)

The actual workings of the Library of Babel are quite complex – using randomized characters with an algorithm complex enough to create the same block of text within the same place in the library every time it is viewed. When a search is made for a specific string within the library, the program works backwards to calculate its position based on the random seed that would produce that output.  (Basile, 2018)

Code Poetry
By Daniel Holden & Chris Kerr

Code Poetry is a collection of code-based pieces, each written in a different programming language with a different concept behind it. The collection was published into a book in 2016. (Holden and Kerr, 2018)

Some examples of the content of this book are as follows:

IRC (Markov Chain Poetry)
Markov chains are generated sequences based on probability. In this example, poetry is created by using strings generated from IRC logs. (Theorangeduck.com, 2018)
Similar: Create lyrics using markov chains

Water
Water is a piece written in c++ that is styled in such a way to resemble rain clouds. When run, the code generates raindrops. (Holden and Kerr, 2018) Water is an interesting piece as it challenges the way we traditionally view and approach code.

water

Machine Learning Art
By William Anderson

Using Markov Chains and a collection of training images from the Bauhaus art movement, an artist was able to create new artworks in this iconic style. (Anderson, 2017)

bauhaus genart

Bauhaus art generated by AI (Anderson, 2017)


References:

Anderson, W. (2017). Using Machine Learning to Make Art – Magenta. [online] Magenta. Available at: https://magenta.as/using-machine-learning-to-make-art-84df7d3bb911 [Accessed 7 Feb. 2018].

Anderson, W. (2017). Bauhaus Markov chain art. [image] Available at: https://magenta.as/using-machine-learning-to-make-art-84df7d3bb911 [Accessed 7 Feb. 2018].

Austen, K. (2013). Drawing on a moon brings out people’s best and worst. [online] New Scientist. Available at: https://www.newscientist.com/article/dn24702-drawing-on-a-moon-brings-out-peoples-best-and-worst/ [Accessed 30 Oct. 2017].

Basile, J. (2018). About. [online] Library of Babel. Available at: https://libraryofbabel.info/About.html [Accessed 6 Feb. 2018].

Basile, J. (2018). Library of Babel. [image] Available at: http://libraryofbabel.info/browse.cgi [Accessed 6 Feb. 2018].

Basile, J. (2018). Theory – Grains of Sand. [online] Library of Babel. Available at: https://libraryofbabel.info/theory4.html [Accessed 6 Feb. 2018].

Borges, J. (2018). The Library of Babel. [ebook] Available at: https://libraryofbabel.info/libraryofbabel.html [Accessed 6 Feb. 2018].

Designboom (2014). Moon close up. [image] Available at: https://www.designboom.com/art/ai-weiwei-olafur-eliasson-give-rise-to-moon-interactive-artwork-11-26-2013/ [Accessed 30 Oct. 2017].

Cembalest, R. (2013). How Ai Weiwei and Olafur Eliasson Got 35,000 People to Draw on the Moon | ARTnews. [online] ARTnews. Available at: http://www.artnews.com/2013/12/19/how-ai-weiwei-and-olafur-eliasson-got-35000-people-to-draw-on-the-moon/ [Accessed 30 Oct. 2017].

Feinstein, L. (2014). Make Your Mark On The Moon With Olafur Eliasson and Ai Weiwei. [online] Creators. Available at: https://creators.vice.com/en_uk/article/yp5zkj/make-your-mark-on-the-moon-with-olafur-eliasson-and-ai-weiwei [Accessed 30 Oct. 2017].

 

Holden, D. and Kerr, C. (2018). ./code –poetry. [online] Code-poetry.com. Available at: http://code-poetry.com/home [Accessed 6 Feb. 2018].

Holden, D. and Kerr, C. (2018). water.c. [online] Code-poetry.com. Available at: http://code-poetry.com/water [Accessed 6 Feb. 2018].

Holden, D. and Kerr, C. (2018). The code behind Water. [image] Available at: http://code-poetry.com/water [Accessed 6 Feb. 2018].

Theorangeduck.com. (2018). 17 Line Markov Chain. [online] Available at: http://theorangeduck.com/page/17-line-markov-chain [Accessed 6 Feb. 2018].