partly observable Markov decision process

In this article the methodological principles of estimation of information pertinence using expected value of perfect information are described, the basic concepts of involving of automated planning methods are formulated, the features and advantages of partly observable Markov decision process model is outlined. The example of application the developed approach to the metal surface corrosion protection domain is discussed.