2.allow easy modification adding and deleting skill from the knowledge base.
3.easy modification of the knowledge base is a major factor in producing a successfull programe in expert system.
4.knowledge engineering must address a range of problem.
5.through a knowledge we create one part without effecting the other.
6.user knowledge specific to to a problem domain to provide "exper quality"performance in that application area.
To develop an expert system, you need a knowledge base containing expert knowledge in a specific domain, a rule-based inference engine to reason using the knowledge base, and an interface for users to interact with the system. Additionally, you may need tools for knowledge engineering to capture and represent the expert knowledge effectively.
embed human knowledge into IS
The term "expert system" refers to an artificial intelligence. An expert system is a program that has the ability to answer questions by taking knowledge on a subject and converting it to codes.
The primary function of and expert system is to emulate the decision ability of a human expert. It is designed to solve complex problems by reasoning about knowledge
Knowledge-based systems
A knowledge base is a database that contains facts provided by a human expert and rules that an expert system uses to make decisions based on those facts. The knowledge base helps the system replicate the decision-making process of the human expert.
The knowledge base, which stores expert knowledge and rules; the inference engine, which processes information and draws conclusions; and the user interface, which allows interaction between the system and the user.
Usually, yes they are. An Knowledge base system is used to sort out a ll database of knowledge by asking a series of simply question to get the answer you need. An expert system operates basically the same way.The only difference might be in that an expert system tends to be a little smarter and anticipate the answer by software routines that will reject sections of knowledge you dont' need - while a knowledge base system can do that - but is normally not more than a Search engine that tries to narrow done your possible choices until you arrive at the one good answer..
An expert system mimics the expertise of an expert, such as a physician, geologist etc. An intelligent system is a system learns and acts and reaches objectives not by chance. For example while searching for a book the an intelligent system recommends books based on your and similar search patterns. So there is some similarity in terms of support in task between the two systems, however, an expert system is centered around the expertise of an expert. The other difference is the Expert System having a Knowledge base that captures the expert's knowledge, while the iintelligent system may or may not have a knowledge base. Hope this helps.
god know......
Expert Common Knowledge happened in 1992.
Expert Common Knowledge was created in 1992.