The paper presents the implementation of a visual script editor that allows you to design a series of experiments for virtual educational laboratories. The connection of the above approach with the possibility of explicit control over students' involvement and methods of its evaluation is described.

The rapid development of complex virtual worlds (most notably, in 3D computer and video games) introduces new challenges for the creation of virtual agents, controlled by artificial intelligence (AI) systems. Two important subproblems in this topic area which need to be addressed are (a) believability and (b) effectiveness of agents' behavior, i.e. human-likeness of the characters and high ability to achieving their own goals. In this paper, we study current approaches to believability and effectiveness of AI behavior in virtual worlds. We examine the concepts of believability and effectiveness and analyze several successful attempts to address these challenges. In conclusion, we suggest that believable and effective behavior can be achieved through learning behavioral patterns from observation with subsequent automatic selection of winning acting strategies.

The approaches to the development (using the contactless touchscreen game controller Microsoft Kinect) of rehabilitation games for the complete or partial restoration of the motor functions of post-stroke patients using Microsoft Kinect are outlined. Problems that have been overcome, when working with the Microsoft Kinect and elements of game mechanics to achieve the involvement of the patient in the rehabilitation and gaming process are described.

In this paper, we discuss monitoring of the state of murals, retrieval of data pertaining to this state and management and storing of the said data. We discuss the possibility of integration of traditional methods of mural mapping and modern methods of data visualization, including Project Tango for fixation of complex textures of inner 3D volumes of architectural monuments. We further discuss the express-scanning of automated cartogramming for further comparison of states and methods of assessing the damage done to the mural.