Author(s)

Daniel Kovach^1*

¹Kovach Technologies, San Jose, CA, USA.

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.

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

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.