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 IJMNTA  Vol.3 No.4 , September 2014
The Computational Theory of Intelligence: Information Entropy
Daniel Kovach1*
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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.
Keywords: Machine Learning, Artificial Intelligence, Entropy, Computer Science, Intelligence
Cite this paper: Kovach, D. (2014) The Computational Theory of Intelligence: Information Entropy. International Journal of Modern Nonlinear Theory and Application, 3, 182-190. doi: 10.4236/ijmnta.2014.34020.
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