Application of game tree structures in the process of obtaining knowledge

Purpose: The purpose of the article is to present dependency graphs and parametric game tree structures as tools in generating and acquiring knowledge. Design/methodology/approach: The thematic scope of work concerns the author's method of generating graphs and decision trees. The scope of work includes the analysis of computational assumptions of guidelines supporting knowledge generation and decision making. Findings: The paper presents a method of generating game tree structures that allow to change the values of decision parameters in the issues of decision making and knowledge generation. Research limitations/implications: Further development directions of the presented issues should be conducted in the field of computer implementation of the developed algorithms. Practical implications: The most important in this regard will be the selection of the optimal programming environment with the possibility of installing the program in laboratory room systems for decision support and knowledge management for students. At a later stage, the use of tools in various problems in companies with a managerial and technical profile. Social implications: The application of method can improve the quality of decision alignment and give access to problem solving of various technical problems. Originality/value: A novelty is the use of parametric game tree structures as an alternative method to induction trees and multi-valued logical trees. Because game structures, unlike other methods, are built directly from the graph.