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The article is devoted to the problem of collecting and processing information about the state and development of the urban environment using geoinformation technologies. The process of analysis of citizens preferences for decision support in the management of development problems in urban areas is described. Examples of applications for the collection and analysis of information about the preferences of the citizens in the development of territories are provided. The proposed approach can be used to identify the preferences of residents and the organization of interaction between government, citizens and urban communities.

The approach to automation of data processing, obtained from a high-efficiency gas chromatograph, is considered. The highly specialized unique software automation platform is presented. The analysis of labor costs of the employee working, methods of automation of various stages of work are offered. Subsystems of the automation platform are described. A research has been made that proves the feasibility of implementing the platform

The article considers the aspects of intellectual platform for monitoring, diagnostics, forecasting of the state and modernization of the technical system. Methods of diagnostics, forecasting and modernization of a technical system at different stages of the life cycle using predictive modeling are considered. The method of identification of the current stage of the life cycle of a technical system is shown. The description of information support of the platform is given. Examples of description of the ontology of general industrial equipment are shown.

This paper is devoted to such issues as artificial intelligence, ontological engineering, decision support, maintenance and repair, maintenance equipment, life cycle. The paper shows the basic procedure of the modernization and the knowledge representation models that used to organize the process of decision support. In this paper describes the process of developing an ontological knowledge model for general equipment by combining several basic classifiers for industrial equipment. Ontology files generating based on an analysis of the enterprise assets classifier texts showed. The features of each classifier and procedures of their union described. A description of some group’s ontology described. The main classes in groups and examples of instances of classes identified. The presented algorithms predicting the state of the technical system. Illustrates the application of the developed methods on the example of the car.

This report examines the issues of improving the efficiency of use of available funds for the maintenance and repair of equipment, reducing the burden on the staff. We have investigated and analyzed the process of repair and maintenance of a service company. We have defined basic models and its set of functions. This work is based on agent-based approach to simulate MRO process. Logical and conceptual models of multi-agent systems of MRO process have been developed.

This paper describes a multi-agent system for monitoring, diagnosis and forecasting the technical system condition with the car as an example. The system consists of four agents: the monitoring agent (collects reports on the condition of the vehicle, handles requests from the user and displays the response), diagnostic agent (reads log files, parses the parameters of the car), forecasting agent (determines the future values of the parameters and diagnoses predicted values), the data collection agent.

Adaptive learning game studies experienced rapid growth due to its learning benefits and popularity among younger generations. Computer programming is considered a challenging subject by learners and teachers, as a result of poor motivation towards its studies. It is important to know how adaptive educational games can help to enhance our student’s motivation and learning perceptions towards Programming skills. This paper discusses the concept of using educational games as learning medium by applying the following techniques: motivation, intervention, collaboration etc with an agent based approach to reinforce and improve the students’ abilities in the concepts of programming. We present a platform whereby instructional content and methods are customized to individual students to guide/facilitate learning and mastering of programming concepts.