Art perspectives on coevolution and biodiversity, the hybrid microbial-AI organisms of Codex Virtualis Genesis

Codex Virtualis is an art-science research framework oriented towards the synthesis and evolution of an open-ended taxonomic collection of speculative forms of life. An aesthetic journey through an algorithmic ecosystem which seeks to enhance our understanding of the genetic, metabolic and behavioral processes present in microbial life. This paper discusses how the theoretical and algorithmic artifacts in Codex Virtualis unfold in continuous interplay with each other, rendering a scientific inquiry into the conditions for the possibility of life.

Content

Author and article information

Contributors

Alfredo Lozano

Leslie García

Paloma López

Emmanuel Anguiano

Felipe Rebolledo

Carles Tardío Pi

Mariana Pérez Bobadilla

Conference

Publication date: September 2021

Publication date (Print): September 2021

Pages: 269-277

Affiliations

[0001]The New Centre for Research and Practice

Seattle, Washington, USA

[0002]Emmanuel Anguiano, Felipe Rebolledo

Interspecifics, Mexico City, Mexico

[0003]Laboratorio de Biología de Sistemas y Biología Sintética

Centro de Ciencias Genómicas, Universidad Nacional

Autónoma de México, Cuernavaca, México

[0004]Laboratorio de Biología de Sistemas y

Biología Sintética

Waag Society Amsterdam

Article

DOI: 10.14236/ewic/POM2021.35

SO-VID: b6be115e-dfde-486c-94ec-be98e0f3f088

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of Politics of the Machines - Rogue Research 2021

Conference acronym: POM 2021

Conference number: 3

Conference location: Berlin, Germany

Conference date: September 14-17, 2021

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: debate and devise concepts and practices that seek to critically question and unravel novel modes of science

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/POM2021.35

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

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Black S, Gao L, Wang P, Leahy C, Biderman S. (2021) GPT-Neo: Large scale autoregressive language modeling with mesh-tensorflow. 2021 Mar 58.
S Cave, D Kanta (2018). Ancient dreams of intelligent machines: 3,000 years of robots. Nature 559, 473–475.
R Cazzolla Gatti (2016) A conceptual model of new hypothesis on the evolution of biodiversity. Biologia, 71(3), 343 – 351. 10.1515/biolog-2016-0032
Chan BW. (2018) Lenia-biology of artificial life. Complex Systems, 2019, 28(3), 251–286. arXiv:1812.05433.
C Cleland (2019) The quest for a universal theory of life: Searching for life as we don’t know it. Cambridge University Press, Cambridge.
A Franke (2010) Animism. Sternberg Press, Berlin.
Ga, Zhang. (2021). Ai delivered: The abject and redemption. Chronus Art Center. http://www.chronusartcenter.org/en/cac-reading-aidelivered-theabjectandredemption/ (acessed on 28 August 2021 ).
C. G Langton (1989) Artificial Life. In Langton C. G. (5) Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, Addison Wesley, Boston.
L Margulis (1970). Origin of Eukaryotic Cells. Yale University Press, London.
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Sánchez Á., Vila J.C., Chang C.Y., Diaz-Colunga J., Estrela S., Rebolleda-Gomez M. (2021) Directed evolution of microbial communities. Annual review of biophysics, 50, 323–41.
L Sinapayen (2020) Introduction to artificial life for people who like AI. The Gradient. http://thegradient.pub/an-introduction-to-artificial-life-for-people-who-like-ai/ ( 28 August 2021 ).
S Van der Walt, JL Schönberger, Nunez-J Iglesias, F Boulogne, J.D Warner, N Yager, E Gouillart, T Yu (2014) scikit-image: Image processing in Python. PeerJ, 453(2). http://doi.org/10.7717/peerj.453
C Woese R. (2000) Interpreting the universal phylogenetic tree. Proceedings of the National Academy of Sciences Jul 2000, 97 (15) 8392–8396. DOI: 10.1073/pnas.97.15.8392
G Wood (2003). Living dolls: A magical history of the quest for mechanical life. Faber, London.

Comments

Comment on this article

[1] R Beer D. (2015) Characterizing autopoiesis in the game of life. Artificial Life, 21(1), 1–19. http://doi.org/10.1162/artl_a_00143

[2] Black S, Gao L, Wang P, Leahy C, Biderman S. (2021) GPT-Neo: Large scale autoregressive language modeling with mesh-tensorflow. 2021 Mar 58.

[3] S Cave, D Kanta (2018). Ancient dreams of intelligent machines: 3,000 years of robots. Nature 559, 473–475.

[4] R Cazzolla Gatti (2016) A conceptual model of new hypothesis on the evolution of biodiversity. Biologia, 71(3), 343 – 351. 10.1515/biolog-2016-0032

[5] Chan BW. (2018) Lenia-biology of artificial life. Complex Systems, 2019, 28(3), 251–286. arXiv:1812.05433.

[6] C Cleland (2019) The quest for a universal theory of life: Searching for life as we don’t know it. Cambridge University Press, Cambridge.

[7] A Franke (2010) Animism. Sternberg Press, Berlin.

[8] Ga, Zhang. (2021). Ai delivered: The abject and redemption. Chronus Art Center. http://www.chronusartcenter.org/en/cac-reading-aidelivered-theabjectandredemption/ (acessed on 28 August 2021 ).

[9] C. G Langton (1989) Artificial Life. In Langton C. G. (5) Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems, Addison Wesley, Boston.

[10] L Margulis (1970). Origin of Eukaryotic Cells. Yale University Press, London.

[11] A Peñafiel (1904) Cantares en idioma Mexicano. (Kopie des Originalmanuskripts). Bibilioteca Nacional, Mexico City.

[12] Sánchez Á., Vila J.C., Chang C.Y., Diaz-Colunga J., Estrela S., Rebolleda-Gomez M. (2021) Directed evolution of microbial communities. Annual review of biophysics, 50, 323–41.

[13] L Sinapayen (2020) Introduction to artificial life for people who like AI. The Gradient. http://thegradient.pub/an-introduction-to-artificial-life-for-people-who-like-ai/ ( 28 August 2021 ).

[14] S Van der Walt, JL Schönberger, Nunez-J Iglesias, F Boulogne, J.D Warner, N Yager, E Gouillart, T Yu (2014) scikit-image: Image processing in Python. PeerJ, 453(2). http://doi.org/10.7717/peerj.453

[15] C Woese R. (2000) Interpreting the universal phylogenetic tree. Proceedings of the National Academy of Sciences Jul 2000, 97 (15) 8392–8396. DOI: 10.1073/pnas.97.15.8392

[16] G Wood (2003). Living dolls: A magical history of the quest for mechanical life. Faber, London.

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