TITLE:
The Computational Theory of Intelligence: Information Entropy
AUTHORS:
Daniel Kovach
KEYWORDS:
Machine Learning, Artificial Intelligence, Entropy, Computer Science, Intelligence
JOURNAL NAME:
International Journal of Modern Nonlinear Theory and Application,
Vol.3 No.4,
September
29,
2014
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.