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",
• ISSN = "2167-9479",
• URL = "https://www.scirp.org/pdf/IJMNTA_2015021610450350.pdf",
• 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

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