Formalization of the meaning[9]. Part 1

Every area of knowledge builds its descriptions using concepts. At the same time, the definition of concepts given through their characteristic features is widespread. On this basis, both basic mathematical and many philosophical con-cepts are built. The concepts which a person uses are subject to similar properties, and their nature is the nature of defi-nitions. Numerous attempts to create strong artificial intelligence are based on the corresponding paradigm. The article attempts to substantiate the need to use the contextual-semantic paradigm to explain the work of the natural brain and to create a strong artificial intelligence. A formal model describing the meaning is presented, and its connection with the known data on the functioning of the brain is given. It is shown that a context can be created around each concept, which can be the bearer of the concept's meaning. The context allows one to move away from using a set of features to recognize the phenomenon behind a concept. The context turns out to be a point of view associated with the concept, in which the description of the surrounding world changes. Knowing the rules of these changes, one can not only model different points of view, but also determine which of them create adequate interpretations. At the same time, the presence of an adequate interpretation in the context of the phenomenon serves as a criterion for the presence of this phenomenon.