The Computational Theory of Intelligence: Information Entropy

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.

Published at http://www.scirp.org/journal/PaperInformation.aspx?PaperID=50204

Cited by in corpus (1)

• The Computational Theory of Intelligence: Applications to Genetic Programming and Turing Machines