The paper describes the solution to the problem of testing the efficiency of new ideas and algorithms for intelligent systems. Simulation of interaction of the corresponding intelligent agents in a competitive form implementing different algorithms is proposed to use as the main approach to the solution. To support this simulation, a specialized software platform is used. The paper describes the platform developed for running competitions in artificial intelligence and its subsystems: a server, a client and visualization. Operational testing of the developed system is also described which helps to evaluate the efficiency of various algorithms of artificial intelligence in relation to the simulation like "Naval Battle".
Modern requirements for educational technologies are flexibility and adaptability, with the consideration of the student’s individual characteristics, learning style and basic competencies. The most important resource is time, therefore, shortening the training time and obtaining the most useful and complementary professional competencies and knowledge is an urgent and important task. The article discusses the concept of metadesign as a means for building learning paths, and examines the design and platform application based on its principles. Implementing metadesign principles is demonstrated on the example of the educational trajectory while training software developers. Forming the learning paths within the trajectory using the created educational platform is considered. The functional requirements for the educational platform are stated. The principles of building an educational trajectory within the framework of the platform using modern educational trends and simulators are described.
The article describes the solution to the problem of teaching programming skills using modern techniques and additional software. It is proposed to use simulation modeling of interaction developed by users as part of the training of intellectual agents in a competitive form that implement various algorithms as the main approach to the solution. Intellectual agents are presented in the form of artificial intelligence developed by platform users, which interacts with other intellectual agents following the rules of the developed scenario for the competition. Scenarios provide a set of capabilities for intelligent agents, an interaction environment, and a set of constraints that participants follow. To support this simulation, it is proposed to use a specialized software platform. The platform allows organizers to develop scenarios with a unique set of rules, and additional platform tools speed up development and allow organizers to implement visual display to users that can be used to show competitive process. A set of built-in platform tools allows organizers to focus directly on the rules of the competition, since the platform provides communication with participants and additional tools for calculating the results of the competition. In additional there is a set of basic competition systems on the platform. However, if necessary, the organizers can present their own competition format and implement it separately. The article describes the developed platform for teaching and holding competitions in artificial intelligence. The article also examines a number of scenarios and intelligent agents.
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