This participation is focused on artificial intelligence techniques and their practical use in computer game. The aim is to show how program (based on evolutionary algorithms) can replace a man in the strategy game StarCraft: Brood War. Implementation used in our experiments use classic techniques of artificial intelligence environments, as well as unconventional techniques, such as evolutionary computation. An artificial player, proposed in this paper, is the combination of the decision tree and evolutionary algorithm SOMA. Whole code for experiments was written in the Java programming language. The proposed code provides a simple implementation of the artificial computer player in combination with slightly modified algorithm SOMA. This provides an opportunity for effective, coordinated movement of combat units around the combat landscape. Research reported here has shown potential benefit of evolutionary computation in the field of strategy games.

Considered systems approaches provide guaranteed operation technological structures based on expert local coordination strategies.

The paper considers model of complexation of measurement and information systems for the processing of data streams to provide information management systems. It allows to control the production system in case of boundary modes and emergencies.

This paper is devoted to the problems of information systems necessary for constructive data classification and decision-making process of operator depending on the cognitive characteristics.

This research represents a corresponding and developed specialized impact factors reverse analysis method for software complexes’ support automation; it is intended for the analysis of impact factors affecting the supported software’s (or processes of its comprehensive support) subjective perception results, as one of the constituent tasks of the more complex problem of software complexes’ support automation. The developed method provides the possibility to restore certain boundaries of impact factors by classifying the multilayer perceptron’s hidden layer neurons and calculating the probability coefficients of the belonging of these neurons to the corresponding specific pre-determined impact factors. The problem of determining the influence of impact factors on the subjective perception of the object of support (the supported software or the processes of its comprehensive support) by the relevant subjects (interacting with this object, providing and implementing its support) was resolved through the approach developed and proposed by the authors in the scope of this research. A key feature of the proposed approach is to assign the neurons of the hidden layers (of the multilayer perceptron type of artificial neural networks) functional–semantic meaning(s), which they have been deprived of a priori, performing (before this) by default an exclusively operational (calculation) function mainly for the correctness of the training and functioning of the multilayer perceptron itself. The potential of the developed method allows us to apply it for solving a huge number of applied practical tasks, such as the one provided in the scope of this research, which is as follows: a practical task of the support team members’ portrait determination, followed by a further search (detection) of the interchangeable members of this support team to ensure the possibility of quick transfer of the stack of tickets (which are in the middle of the active resolution process) between these members.

Software engineering occupies a prominent place in the theory and practice of simulation modeling, which necessitates scientific research in the field of methodological principles for forming software product quality. The problem of determining the optimal option for software development is one of the key ones in the field of information technology because it determines the quality of the final product and the efficiency of project management. The article considers the concept of developing an automated system, the basis of which is the software for assessing alternatives in the process of creating innovative IT projects. The main goal of the study is to model alternatives and select the optimal option for the process of creating an IT project using modern methodological approaches. For this purpose, the methods of ontological analysis, expert evaluation, multi-criteria optimization, pairwise comparisons and multi-factor selection of alternatives are applied. In the course of the research, a subset of Pareto factors is singled out and alternative development options are formed based on the method of linear convolution of criteria. The proposed methodology allows for assessing the importance of key factors and selecting the optimal option for the software development process. As a result, the developed approach contributes to strategic planning and increases the transparency of the decision-making process. The key result of the research is the created software product that allows one to automate the procedure for selecting the optimal solution for the IT project development process, providing reliable support for simulation modeling and increasing the efficiency of project management. The proposed methodology creates a new paradigm for making informed decisions regarding systems for creating complex software complexes.