Game-tree structures with the complex complexity level as a tool in knowledge engineering

Abstract

The paper concerns application of the dependence graphs and game- tree structures with the complex complexity level as a tool in knowledge engineering. Different graph solutions mean connections between input and output data as well as decision variables of the analyzed system. The graph distribution from any vertex in the first stage leads to a tree structure with cycles, and next to a general tree game structure. Game-tree structures from each node have different shape and properties. Algorithmic way to create graphical structures out of a mathematical model describes the optimization method of systematic exploration. Tree structure, with the lowest values of complexity level is the simplest structure