Please talk about the advantages and disadvantages of different knowledge representation methods and how to choose the appropriate knowledge representation method.

Advantages: accurate, natural, rigorous and easy to realize. Disadvantages: presentation and processing are separated, and combined explosion leads to low efficiency.

Knowledge representation is a general method to study the feasibility and effectiveness of using machines to represent knowledge. It is the unity of data structure and control structure, which considers both the storage and use of knowledge. Knowledge representation can be regarded as a set of conventions to describe things, thus representing human knowledge as a data structure that can be processed by machines.

When choosing a knowledge representation method, the following factors should be considered:

Representation ability: able to correctly and effectively express the knowledge needed to solve problems; Understandability: the knowledge expressed is simple and easy to understand; Accessibility: the expressed knowledge can be effectively used; Extensibility: knowledge can be expanded conveniently and flexibly. Whether the expression range is wide, whether it is suitable for computer processing, whether it is an efficient algorithm, whether it can express inaccurate knowledge, whether it can be modularized, whether knowledge and meta-knowledge can be expressed in a unified form, whether heuristic information is added, whether it is procedural or explanatory, and whether the expression is natural. In a word, the solution of artificial intelligence problem is based on knowledge representation, and how to describe, store and effectively use the acquired knowledge in the form of computer internal code is the problem to be solved by knowledge representation.