The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines

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@Article{Kovach:2015:IJMNTA,
  author =       "Daniel Kovach",
  title =        "The Computational Theory of Intelligence: Applications
                 to Genetic Programming and Turing Machines",
  journal =      "International Journal of Modern Nonlinear Theory and
                 Application",
  year =         "2015",
  volume =       "4",
  pages =        "10--20",
  month =        mar,
  keywords =     "genetic algorithms, genetic programming, artificial
                 intelligence, computer science, intelligence, machine
                 learning",
  DOI =          "doi:10.4236/ijmnta.2015.41002",
  size =         "11 pages",
  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.",
  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