The Computational Theory of Intelligence: Information Entropy
Artificial Intelligence
2014-12-30 v1 Machine Learning
Abstract
This paper presents an information theoretic approach to the concept of intelligence in the computational sense. We introduce a probabilistic framework from which computational intelligence 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.
Cite
@article{arxiv.1412.7978,
title = {The Computational Theory of Intelligence: Information Entropy},
author = {Daniel Kovach},
journal= {arXiv preprint arXiv:1412.7978},
year = {2014}
}
Comments
Published at http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50204