The Computational Theory of Intelligence: Information Entropy
  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. 
Daniel Kovach
cs.AI cs.LG