Knowledge acquisition

There are five major methods of creating a knowledge base. The selection is based on an amount of information that should be delivered to an expert system (based on [5]).

• rote learning - Learning process is done by explicit programming, without any interaction with a system.
• learning by being told - This method is based on interaction between the teacher (an expert) and the student (an expert system). The teacher points what kind of knowledge is important, and the student aggregates it with the knowledge it has possessed so far.
• learning by analogies - It is an ability to transform the possessed knowledge in such a way that it could be used in solving other, but still similar, problems.
• learning by examples - This method is based on gathering information from given examples and their classification in proper classes. Examples are given by a teacher.
• learning by observations - It is also called: learning without a teacher. This is generalized inductive learning. Similar to learning by examples but without a teacher. It is used in pattern recognition and cluster analysis problems.