Semi-Filled Shells and New Technology of the Subject-Oriented Statistical Expert Systems Construction

The main idea of the proposed technology of the Subject-Oriented Statistical Expert Systems (SOSES) construction is to create every new SOSES not from a “zero” point, but from a particular universal non-empty shell (it will be further referred to as “semi-filled” shells to distinguish from ordinary shells used for the expert systems). This special shell has to be filled, first, with the mathematical tools commonly used in all different kinds of SOSES, and, second, with the part of the technology of its agjustment to the subject field that is invariable as regards the field proper.The implementation of this idea is based on a system of extraction of statistical knowledge from an experienced applied statistician, formalization and representation of this expertise in a corresponding knowledge base that includes: (α) the most common types of applied statistical problems and methods for their solution; (β) methodology of identification of the considered real problem (from the analyzed application field) in terms of the type (or types) of statistical problems it belongs to; (γ) recommendations on how to determine the optimal technological chain of processing modules of the system for a real problem (according to its passport); (δ) recommendations on how to interpret intermediate and final results of computations; (ε) promptings on how to avoid the most typical “traps” occuring during the applied statistical analysis. The methodology to a considerable extent is based on the methods for classification and pattern recognition, as well as a special concept of the “passport of the problem”.The proposed ideas were first sketched in [1] and developed in [2]. Related problems of intellectualization of statistical software were discussed in [3].This paper presents some results of the Canadian-Russian SBIT-project funded by Prof. S.Wamer, York University, North York, Canada, and of the project funded by Russian-American JV DIALOGUE.