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has been cited by the following article:

• TITLE: The Computational Theory of Intelligence: Information Entropy

  AUTHORS: Daniel Kovach

  KEYWORDS: Machine Learning, Artificial Intelligence, Entropy, Computer Science, Intelligence

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.3 No.4, September 29, 2014

  ABSTRACT: This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computation alintelligence is shown to be an entropy minimizing process at the local level. Using this new scheme, we develop a simple data driven clustering example and discuss its applications.