虽然专家系统的发展无论是理论和实践都获得了巨大的成功,但是目前的专家系统都还存在着急需改进、完善、提高的问题。如:(a) 作为知识库中的知识限于经验关联,系统不能理解所处理的问题领域中的基本原理和定律。(b) 系统几乎都不具有知识获取的功能(尤其是知识的抽取),这构成了专家系统开发中的瓶子口问题。(c) 知识的不足常常导致系统的失败。(d) Although the development of expert system has achieved great success both in theory and practice, there is still an urgent need to improve, perfect and improve the current expert system. For example: (a) As the knowledge in the knowledge base is limited to empirical relevance, the system can not understand the basic principles and laws in the field of the problem being addressed. (b) Almost all systems do not have the function of knowledge acquisition (especially the extraction of knowledge), which constitutes a bottleneck in the development of expert systems. (c) Insufficient knowledge often leads to systematic failure. (d)