Application of the purposeful behavior principle in the cognitive control system of a radar station
The application of cognitive technologies in radar is a rapidly developing area with many opportunities for innovation. A significant obstruction in this discipline is the lack of a common understanding of how the architecture of a multi-function radar control system should be designed to include multiple feedback loops that enable the manifestation of cognition. In the radar community, there is still no precise definition of what distinguishes an adaptive system from a cognitive one. This work is intended to expand and substantiate the list of elements and qualitative characteristics that must be present in a radar system in order for it to be classified as cognitive. The author suggests the use of a metacognitive approach to developing a model of purposeful behavior that selects the most profitable strategy and controls the cognitive processes involved in learning. The action selection based on the perception of the environment is the fundamental characteristic of the cognitive system. Finally, the choosing process leads to the optimization problem, when it is desirable to choose the action with the maximum reward. This is determined by the degree of similarity of the current internal and external states with the target one. This is based on the principle that radar systems should not be classified as cognitive or non-cognitive, but should be evaluated by the degree of severity of cognitive functions. The author suggests a gradation of cognitive systems based on the principle of purposeful behavior of control system elements. The article substantiates the need to consider the ability of the system to function in actual time and computing power as a sign that determines the degree of expression of its cognitive abilities.