The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines
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- @Article{Kovach:2015:IJMNTA,
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author = "Daniel Kovach",
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title = "The Computational Theory of Intelligence: Applications
to Genetic Programming and Turing Machines",
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journal = "International Journal of Modern Nonlinear Theory and
Application",
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year = "2015",
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volume = "4",
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pages = "10--20",
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month = mar,
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keywords = "genetic algorithms, genetic programming, artificial
intelligence, computer science, intelligence, machine
learning",
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ISSN = "2167-9479",
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URL = "https://www.scirp.org/pdf/IJMNTA_2015021610450350.pdf",
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DOI = "doi:10.4236/ijmnta.2015.41002",
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size = "11 pages",
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abstract = "In this paper, we continue the efforts of the
Computational Theory of Intelligence (CTI) by extending
concepts to include computational processes in terms of
Genetic Algorithms (GAs) and Turing Machines (TMs).
Active, Passive, and Hybrid Computational Intelligence
processes are also introduced and discussed. We
consider the ramifications of the assumptions of CTI
with regard to the qualities of reproduction and
virility. Applications to Biology, Computer Science and
Cyber Security are also discussed.",
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notes = "see arxiv \cite{ournals/corr/Kovach14} and
\cite{oai:arXiv.org:1412.6144} says This paper was
originally presented at RAMSA 2013 in Visakhaptnam,
India in December 2013",
- }
Genetic Programming entries for
Daniel Kovach
Citations