The Computational Theory of Intelligence: Information Entropy

International Journal of Modern Nonlinear Theory and Application

ISSN Print: 2167-9479
ISSN Online: 2167-9487
www.scirp.net/journal/ijmnta
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"The Computational Theory of Intelligence: Information Entropy"
written by Daniel Kovach,
published by International Journal of Modern Nonlinear Theory and Application, Vol.3 No.4, 2014

has been cited by the following article(s):

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[7]	Computer Automatic Course Arrangement Based on Artificial Intelligence/Arranjo Automático de Curso Automático Baseado em Inteligência Artificial
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[8]	The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines
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[9]	The Computational Theory of Intelligence: Data Aggregation
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[10]	A Bio-Inspired Metaheuristic Algorithm Based on New Laws of Survival And Reinforcement Learning


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[1]	The Mind-Brain Problem Bose-Einstein Statistics, Temperature, Heat, Entropy God and Other Elementary Particles Journal of Modern Physics, 2020 DOI:10.4236/jmp.2020.119084

[2]	The Computational Theory of Intelligence: Feedback International Journal of Modern Nonlinear Theory and Application, 2017 DOI:10.4236/ijmnta.2017.62006

[3]	The Computational Theory of Intelligence: Data Aggregation International Journal of Modern Nonlinear Theory and Application, 2014 DOI:10.4236/ijmnta.2014.34016

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