The Computational Theory of Intelligence: Information Entropy
Daniel Kovach1*
1Kovach Technologies, San Jose, CA, USA.
DOI: 10.4236/ijmnta.2014.34020   PDF   HTML     5,130 Downloads   6,653 Views   Citations


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.

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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.

Conflicts of Interest

The authors declare no conflicts of interest.


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