  We describe a cognitive architecture intended to solve a wide range of
problems based on the five identified principles of brain activity, with their
implementation in three subsystems: logical-probabilistic inference,
probabilistic formal concepts, and functional systems theory. Building an
architecture involves the implementation of a task-driven approach that allows
defining the target functions of applied applications as tasks formulated in
terms of the operating environment corresponding to the task, expressed in the
applied ontology. We provide a basic ontology for a number of practical
applications as well as for the subject domain ontologies based upon it,
describe the proposed architecture, and give possible examples of the execution
of these applications in this architecture.
