Abstract

The article discusses the developed authorized methodology based on the Ideal Point Methodusing the Pareto set, which makes it possible to look from modern technological positions at thefeatures of information interaction for evaluating activities and regulating inter-agent interactions,which was the basis for the discipline updates of the Russian Technological University proposedwith the participation of the authors ( MIREA), Institute of Information Technologies, Departmentof Instrumental and Applied Software "Information Management of Systems" of thefourth year of the bachelor's degree program 09.03.04 "Software Engineering" (specializing in"Software Development and Design of Information Systems"). The main advantages of the IdealPoint Method using the Pareto set are described. The mathematical description of the Pareto setand the Ideal Point Method is presented. The use of the modernized method makes it possible toimprove the indicators of emergence in the process of improving educational programs, connectingand reconstructing their modules and inter-agent interactions between them. An example ofthe implementation of the modified method in the information system is shown, from the point ofview of standardization and harmonization of educational content. This article includes an introduction,a formal formulation of the problem, designed to solve an urgent problem considered inthe dissertations of the authors, a review of existing approaches in this method, a description ofthe proposed multi-agent solution to the problem using a mathematical model, an implementationalgorithm, a description of the application of the proposed approach in relation to the task schedulingprocess, and a conclusion ... The main advantages of this technique include the choice ofcriteria that surpass others in terms of a set of features; this method assumes the creation of an"ideal object", that is, a certain solution option that can be taken as the best possible solution. It isassumed that the procedure for selecting a superior object consists of several steps, the formationof an "ideal object", determination for each object of the multi-criteria distance to the "ideal object",analysis of the set of objects for proximity to the "ideal object", exclusion of objects from theinitial set, which are deliberately recognized unsuccessful, as well as obtaining a reduced set ofadmissible objects; assessment of the reduced set of feasible objects for emergence indicators ofthe solution found.

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