Turing's Symbolic Model of Mind and Machine in an Evolutionary Context

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Abstract

The human mind may have a quantum mechanical basis. This article proposes that "Alan Turing"used mathematics, machines, and "mind"to express his abstract theoretical insight of the genetic basis of human behavior. As a whole, Turing's conjectures construct a symbolic model of the computing-human carrying out some unknown computable process organized for intelligence. This article examines Turing's theories on computability, "morphogenesis,"finite machines, universal machines, intelligence in mechanized human behavior, including his proof of the unsolvable halt-orcycle- forever problem. The question is whether or not a mechanized "viral gene regulation"network underpins Turing's full theoretical model, including his intuitive assumption that the brain and mind are mechanized. Since the dawn of the Mesozoic, microbial genes have overcoded the vertebrate ancestral genome via an environmental-internal process that has shaped human behavior and biology today. To understand the impact of viral gene regulation on human evolution, social behavior and advancing technologies, the methodology integrates microbiological research, while using analogical reasoning to compare Turing's published conjectures and his symbolic model of a computing-human to the universal operations of a bistable viral gene regulation network in the human gut microbiota. The comparison confirms that Turing's original abstract intuitions tapped this deep microbiological design. Today, the human microbiome is the quantum frontier, and computational algorithms can be advanced using principles of "evolutionary biology."If a viral gene regulation network of biomolecular algorithms is modulating our behavior, then we must develop a perceptive model of reality with innovative applications, overriding unconscious negative viral input.

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APA

King, J. K. (2020). Turing’s Symbolic Model of Mind and Machine in an Evolutionary Context. International Journal of Technology, Knowledge and Society, 17(2), 41–64. https://doi.org/10.18848/1832-3669/CGP/v17i02/41-64

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