Read full paper at: http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50204#.VDH94lfHRK0 Author(s) Daniel Kovach 1* Affiliation(s) 1 Kovach Technologies, San Jose, CA, USA . 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 ...
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