The widespread implementation of intelligent decision support systems (IDSS) is hampered by the lack of methods and technologies for automatically filling the knowledge base during the operation of such systems. This problem is especially acute in the medical field. Its solution lies in the application of automatic planning technologies.
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.
This paper is devoted to the methodology of module re-adjusting technological rigging complex development with the using of modern programmatic complexes of the automated planning.