Cognisant Simulation: New Age

This article discusses new approaches and tools that help in the development and implementation of cognitive (intelligent) simulation models. The role of the agent-based approach to modeling is shown on the example of a real simulator for training drivers or pilots. It is shown that the main ideas of using artificial intelligence in simulation modeling are still relevant and can be used to build simulation models of large complex systems with structure and/or behavior uncertainty. Possible uncertainties in the description and behavior of the model are shown, as well as possible ways to resolve such situations using artificial intelligent (AI) tools and methods. The use of actors as the basis of intelligent simulation models is discussed. The vital role of storing the history of simulation models for learning actors is also discussed, as well as the problem of describing the behavior of actors representing people in simulation models.