Understanding Expert System, Objectives, Complete Structure

Understanding Expert System, Objectives, Complete Structure – In this discussion we will explain about expert systems. Which includes the understanding, objectives and structure of the expert system with a complete and easy-to-understand discussion. For more details, please read the reviews below carefully.

Definition of Expert System

An expert system is a computer system that can imitate or compensate for the ability of an expert. Expert here means a person who has special expertise in solving a problem that cannot be solved by ordinary people. Such as doctors, mechanics, psychologists and so on.

Objectives of the Expert System

An expert system or what can be called an Expert System is a software package or computer program that has the purpose of providing advice and information a means of assisting in solving problems in certain areas of specialization, for example in science, engineering, mathematics, medicine, education and others so on. According to Arhami (2005) Expert systems are a subset of Artificial Intelligence.

Basically the expert system is implemented as a support for problem solving activities, some of the problem solving activities referred to according to Lestari (2012) include:

Interpretation
Making conclusions or descriptions of the raw data unit. Making decisions from observations which are also speech recognition, image analysis, signal interpretation and so on.

Prediction
Projecting the possible consequences of certain circumstances, such as demographic predictions, economic predictions and so on.

Diagnosis
Determine the cause of malfunctions in complex conditions based on the observed symptoms of medical, electronic, mechanical diagnosis and so on.

Planning (Design)
Determine the configuration of system components that match certain performance goals that meet certain constraints. For example, the design of circuit layouts, buildings.

Planning
Planning several series of activities that will be able to achieve several goals with certain initial conditions. Such as financial planning, military and so on.

Monitoring
Compare the observed results with the expected state. Like a computer acided monitoring system.

Debugging
Define and interpret ways to resolve malfunctions. Like prescribing medicine to failure.

Instruction
Detect and correct deficiencies in understanding the subject domain. Such as carrying out instructions for diagnosis and debugging.

Control
Manage the activities of a complex environment. Such as exercising control over the interpretation, prediction, improvement and monitoring of system activities.

Expert System Structure

According to Kusumadewi (2003:113-115) an expert system is composed of two important parts, namely the development environment and the consulting environment.

The development environment is used as an expert system development both in terms of component development or knowledge base. The consulting environment is used as a place to consult by people who are not experts.

The components that exist in the architecture / structure of the expert system include:

User Interface (User Interface)
Interface is a mechanism used by users and expert systems in communicating. The interface receives information from the user and converts it into a form that can be accepted by the system. And also the interface receives from the system and displays it in a form that can be understood by the user.

Knowledge Base
The knowledge base contains knowledge for understanding, formulation and problem solving.

Knowledge Acquisition
Knowledge acquisition is the accumulation, transfer and transformation of expertise in solving problems from knowledge sources in computer programs. In this process, the knowlede engineer tries to absorb knowledge and then transfer it to the knowledge base. Knowledge is obtained from experts, equipped with books, databases of research reports and user experiences.

Inference Engine/Motor
This component contains the mechanism of thought patterns and reasoning used by experts when solving a problem. An inference engine is a computer program that provides a methodology for reasoning about the information contained in the knowledge base and in the workspace and for formulating conclusions.

Workplace/Blackboard
Workspace is an area of ​​a working memory unit that is used as a recorder of ongoing events, including temporary decisions.

Facility Explanation
The explanation facility is an additional component that will increase the level of expert system capabilities, used to tracking responses and providing explanations about the behavior of expert systems interactively by question.

Knowledge Improvement
Experts have the ability to analyze and improve performance as well as the ability to learn from that performance. This ability is important in computerized learning, so the program will be able to analyze the causes of success and failure failures he experienced and also evaluate whether the existing knowledge is still suitable for use in the future future.

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