Key areas explored include multidimensional extension theory, which aims to expand the existing one-dimensional Extenics Theory to an n-dimensional case where n > 1.
The authors emphasize the importance of this extension for solving practical problems, ensuring technical consistency in its application.
Other significant topics addressed in the book are indicators of inclusion with applications in computer vision, and the development of a genetic algorithm for learning automata.
Additionally, the volume delves into Extenics models for the equilibrium control of bipedal robots and presents new progress in extension theory.