Beauty

Author:

DiBlasi Johnny1ORCID,Castellanos Carlos2ORCID,Bello Bello3ORCID

Affiliation:

1. Department of Art and Visual Culture, Iowa State University, Ames, IA, USA

2. School of Interactive Games and Media, Rochester Institute of Technology, Rochester, NY, USA

3. Department of Art, University at Buffalo, Buffalo, NY, USA

Abstract

We discuss Beauty, a machine-microbial artwork, currently in development by Phylum, an experimental research collective specializing in cultural production informed by the intersections of science, technology and the arts (and of which the authors are founding members). The work is based upon an artificial intelligence agent that uses deep reinforcement learning to interact with and alter cultures of pattern-forming social bacteria in order to make them more aesthetically pleasing.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications

Reference24 articles.

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2. Adafruit. 2021. Adafruit DotStar LEDs. https://learn.adafruit.com/adafruit-dotstar-leds [Online ; accessed 24- October - 2021 ]. Adafruit. 2021. Adafruit DotStar LEDs. https://learn.adafruit.com/adafruit-dotstar-leds [Online; accessed 24-October-2021].

3. Deborah J. Aks and Julien C . Sprott . 1996 . Quantifying Aesthetic Preference for Chaotic Patterns. Empirical Studies of the Arts 14, 1 (Jan. 1996), 1--16. https://doi.org/10.2190/6V31-7M9R-T9L5-CDG9 Publisher : SAGE Publications Inc . 10.2190/6V31-7M9R-T9L5-CDG9 Deborah J. Aks and Julien C. Sprott. 1996. Quantifying Aesthetic Preference for Chaotic Patterns. Empirical Studies of the Arts 14, 1 (Jan. 1996), 1--16. https://doi.org/10.2190/6V31-7M9R-T9L5-CDG9 Publisher: SAGE Publications Inc.

4. From snowflake formation to growth of bacterial colonies II: Cooperative formation of complex colonial patterns

5. Bacterial self–organization: co–enhancement of complexification and adaptability in a dynamic environment

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