Representational Random Walks

Reference

Max Grusky: Representational Random Walks. In: Bridges 2016, Pages 427–430.

DOI

Abstract

By shortening and lengthening its individual segments in accordance with an underlying target image, we can encourage a random walk to reproduce the target image.

Extended Abstract

Bibtex

@inproceedings{bridges2016:427,
 author      = {Max Grusky},
 title       = {Representational Random Walks},
 pages       = {427--430},
 booktitle   = {Proceedings of Bridges 2016: Mathematics, Music, Art, Architecture, Education, Culture},
 year        = {2016},
 editor      = {Eve Torrence, Bruce Torrence, Carlo S\'equin, Douglas McKenna, Krist\'of Fenyvesi and Reza Sarhangi},
 isbn        = {978-1-938664-19-9},
 issn        = {1099-6702},
 publisher   = {Tessellations Publishing},
 address     = {Phoenix, Arizona},
 url         = {http://de.evo-art.org/index.php?title=Representational_Random_Walks },
 note        = {Available online at \url{http://archive.bridgesmathart.org/2016/bridges2016-427.html}}
}

Used References

[1] Max Grusky. Representational random walks. https://maxgrusky.com/posts/random-walks, 2016. [As of March 15, 2016].

[2] Casey Reas and Ben Fry. Processing: programming for the media arts. AI & Society, 20(4):526–538, September 2006.

Links

Full Text

http://archive.bridgesmathart.org/2016/bridges2016-427.pdf

intern file

Sonstige Links

http://archive.bridgesmathart.org/2016/bridges2016-427.html