The maximum entropy principle in decision theory

Abstract

Traditionally, the principle of maximum entropy is used to find unknown distribution of random variables. In decision theory, this principle is used primarily in situations of uncertainty regarding the probability distribution of hypotheses about the “state of the environment”, where the environment is understood as a set of parameters that influence the result of the decision made. This paper considers the use of the principle of maximum entropy for a different purpose, namely for the purpose of optimal distribution of resources of various types. A proof of theorems is given that make it possible to create algorithms for solving various problems of resource allocation based on the principle of maximum entropy, as well as examples of solving demonstrative problems.