Abstract
Machine understanding is referring to the new area of research the aim of which is to investigate the possibility of building a machine with the ability to understand. The term machine understanding, introduced by authors, denotes the process of understanding by the machine Shape Understanding System (SUS). Machine understanding stresses dependence of learning and understanding processes. A machine, in order to be able to understand, needs to imitate the way in which humans understand the world and language (text). SUS as the machine that is designed to have an ability to think and understand needs to learn both knowledge and skills. Learning knowledge and skills that supplies material for thought leading to understanding is called knowledge implementation [see book [103]) for description]. In the previous chapter machine understanding was defined in the context of both human understanding and the existing systems that can be called understanding systems. In this chapter a general outline of machine understanding that is based on the shape understanding method is presented.