decision support

A system for recognizing objects that are captured in real time on a video camera in a noisy environment that changes to the surrounding conditions has been built. The method of filling the database for mobile military objects was studied. For object recognition, the YOLO v8 neural network is used, which allows you to track moving and identify objects that fall into the video from the video camera. This neural network makes it possible to track objects with a change in scale, during movement with obstacles.

In the paper the behavior of an intelligent agent in a competitive environment is investigated in the paper. The OODA loop is chosen for behavior simulation. The interaction of OODA loop stages (observation, orientation, decision support, action) with the ontology of tasks and subject area in which the agent operates was explored.