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The Computational Theory of Intelligence: Information Entropy

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DOI: 10.4236/ijmnta.2014.34020    4,366 Downloads   5,310 Views   Citations
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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.

Conflicts of Interest

The authors declare no conflicts of interest.

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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