Application of Information Theory Entropy as a Cost Measure in the Automatic Problem Solving

Abstract: We study the relation between Information Theory and Automatic Problem Solving to demonstrate that the Entropy measure can be used as a special case of $-Calculus Cost Functions measure.  We hypothesize that Kolmogorov Complexity (Algorithmic Entropy) can be useful to standardize$-Calculus Search (Algorithm) Cost Function.