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Automata Artificial and Otherwise

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Conserving Humanity at the Dawn of Posthuman Technology
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Abstract

We take a deeper dive into two kinds of AI referred to as automata being used to produce music and art. Initially, automata theory was viewed as a model for behavior of neural networks, which were regarded as the mechanistic substrate of intelligence. Some considered the possibility of an artificial neuron, which led to the idea that these networks could be modeled mathematically. Cellular automata and as discussed, evolutionary programming, deal with patterns and regularities that are being employed in AI music production.

That brain of mine is something more than merely mortal; as time will show.—Ada Lovelace

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Notes

  1. 1.

    Automata theory serves as the foundation for AI research.

  2. 2.

    M.C. Escher Tessellations Gallery, see, https://www.google.com/search?q=m.c.+escher+tessellations+gallery&tbm=isch&source=univ&client=firefox-b-1-d&sa=X&ved=2ahUKEwie2frj-pPiAhURna0KHaj4CCIQ7Al6BAgLEBE&biw=1093&bih=477.

  3. 3.

    McCulloch and Pitt’s 1943 paper, “A Logical Calculus of the Ideas Immanent in Nervous Activity,” is regarded as the seminal paper on neural networks.

  4. 4.

    Physical DNA replication is an example, where the data (the amino acids) are arranged as codons that produce proteins.

  5. 5.

    Two-dimensional parallel data processing falls into the class of machines that work on the principles of cellular automata, and as illustrated by Unger’s U.S. Pat. No. 3,106,698 and Golay’s U.S. Pat. No. 4,060,713.

  6. 6.

    I’d worked with M.J.E. Golay and Kendall Preston, in the 1960s, building a computer for cellular automata processing, and then researching algorithms for two-dimensional pattern recognition.

  7. 7.

    Gardner, M. (1970, October). “Mathematical Games: The Fantastic Combinations of John Conway’s New Solitaire Game Life.” Scientific American 223: 120–123. Also see, Gardner, M. (1983). Wheels, Life and Other Mathematical Amusements. San Francisco: Freeman.

  8. 8.

    Evolutionary developmental biology (evo-devo) compares the developmental processes of different organisms to infer the ancestral relationships between them and how developmental processes evolves.

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Carvalko Jr., J.R. (2020). Automata Artificial and Otherwise. In: Conserving Humanity at the Dawn of Posthuman Technology. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-26407-9_24

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  • DOI: https://doi.org/10.1007/978-3-030-26407-9_24

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-26406-2

  • Online ISBN: 978-3-030-26407-9

  • eBook Packages: Social SciencesSocial Sciences (R0)

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