Knowledge, thinking, and management

The subject of this article's research is three interrelated concepts: knowledge, thinking, and management. A comprehensive analysis of these concepts, the definition of key terms and mechanisms reveals their significant commonality. The study of the knowledge system implies: consideration of methods for constructing the knowledge system, a comparative analysis of these methods, determination of the possibility of forming a meaningful model of knowledge; analysis of thinking – a set of event chains that make up the process of working memory in the cognitive system; managing complex systems, including real-time management of cognitive systems. In conclusion, the social aspect of the development of artificial cognitive systems is examined in the context of the established concepts of the knowledge-thinking-management cycle during the transition of civilization to the stage of cognitive technology civilization, characterized by a sharp increase in the significance of artificial cognitive systems. The research methodology is based on the use of knowledge from many fields: epistemology, general system theory and the methodology of scientific cognition, cognitive systems theory, management theory, and others. Various actor-oriented approaches were used as tools for implementing tasks related to building knowledge systems, developing thinking, and management. The scientific novelty of the research presented in the article lies in the comprehensive consideration of all three components of the knowledge-thinking-management cycle. To achieve this, each of the corresponding concepts in the subject areas is analyzed within the frameworks of their relevant theoretical approaches while ensuring the commonality of terminology and concepts used. Significant results of the research include the formalization of the differences between the categories of understanding and comprehension, and through them, approaches to constructing syntactic and semantic models of knowledge. One of the most promising methods for improving cognitive systems is the addition of the attention mechanism with a special extension – a librarian that indexes data in long-term memory according to syntactic and semantic markers, as well as performs preliminary calculations to solve typical tasks that require significant time resources.