| Abstract [eng] |
One of the branches of E-Learning is Reinforcement Learning, whose origins go back to cybernetics, statistics, psychology, neuroscience and computer science intersections, based on Intelligent Multiagent Software action in a dynamic environment. Modern E-Learning systems must react to the challenges and meet up difficulties associated with human-computer interaction and communication problems. Therefore is important to explore application of Artificial Intelligence in the new E-Learning systems. The aim of this work is to explore the use of artificial intelligence implementations for ELearning systems and increase its opportunities hereby introduce them to a multiagent E-Learning environment and to create user-friendly applications emulating the calculations and summarize the results. Presented work describes the new research of E-Learning and AI algorithms provided with a clear scientific value and the actual practical application, improving the training and education problems, using created system modules saves student time by selecting the optimal presentation materials. The results of research topics of this work are relevant now and possibly will be even more important in the future. |
