The paper gives a brief description of the knowledge representation model for autonomous flying robots in the form of a set of typical subtasks, without reference to a specific area, which makes it possible to construct complex programs of goal-directed activity in a priori undefined conditions. The solution of a test problem is presented, which has shown the efficiency and effectiveness of the proposed model of knowledge representation and processing for building an intelligent problem solver