Basic Concepts Of Expert System

Basic Concepts of Expert System covers some fundamental issues, among other who called the expert, what is meant by expertise, how expertise, can be transferred, and how the system works. Experts are people who have the knowledge, judgments, experience, special methods, as well as the ability to apply these talents in giving advice and solving problems. Experts usually have several common concepts. First, it must be able to solve problems and achieve performance levels that are significantly better than most people ore. Second, an expert relative. Experts at one time or one region may not be an expert in time or another region. 

Usually, human experts are able to do the following : Identify and formulate problems, solving problems quickly and accurately, explaining the solution, learning from the experience, knowledge rearranging, dividing up the rule if necessary, enact relevant expertise is extensive knowledge specific to task owned expert.

Expertise is often achieved from training, reading, and practice. Expertise includes explicit knowledge, such as the theory is learned from textbooks or the classroom, and implicit knowledge gained from experience. Development of expert system is divided into two generations. Most first-generation expert system uses if-then rules to represent and store knowledge. Second generation expert system is much more flexible in adopting many methods of knowledge representation and consideration. 

The transfer of expertise from experts to electronic media such as computer and then transferred again to the people who are not experts, is the main aim of the expert system. This process requires four activities: additional knowledge (from experts or other sources), knowledge representation (to computer), inference knowledge, and transfer of knowledge to the user. Knowledge that is stored on a computer called a knowledge base, namely: the facts and procedures (usually in the form of rules). One feature that should be owned by an expert system is the ability to reason. If the skills are stored as knowledge base and available programs that can access the database, then the computer must be programmed to make inferences. This inference process is packaged in a motor inference (inference engine). And each sub-system has the properties of the system to run a particular system function and influence the overall system. 

There are several reasons for a company to adopt expert system. First, an expert in a company / institution could retire, quit, or have died. Secondly, knowledge needs to be documented or analyzed. Third, education and training is important but it is a difficult task. Expert system knowledge is transferred more easily allows a lower cost.


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