The Computational Theory of Intelligence: Information Entropy
Daniel Kovach · International Journal of Modern Nonlinear Theory and Application · 2014
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.