Expert Systems

An expert system consists of both an inference engine and a knowledge base and has decision-making abilities.

Learning Objective

Break down expert systems to the inference engine, the knowledge base, and conversational

Key Points

In the 1980s, a third component was added to most expert systems: A dialog interface to communicate with users. This ability to conduct a conversation with users was later called "conversational. "
In expert system technology, the knowledge base is expressed with natural language rules, such as if-then statements. For example: "If it is living then it is mortal. " This dialog interface has the advantage of speaking in everyday language, which is very rare in computer science.
Knowledge-based systems are artificial intelligent tools working in a narrow domain to provide intelligent decisions with justification. Knowledge is acquired and represented using various knowledge representation techniques, rules, frames and scripts.

Terms

artificial intelligence
The branch of computer science dealing with the reproduction or mimicking of human-level intelligence, self-awareness, knowledge, conscience, thought in computer programs.
knowledge base
A database designed to meet the complex storage and retrieval requirements of computerized knowledge management, especially in support of artificial intelligence or expert systems.

Example

An expert system in use in the financial services field is its use during the approval process for mortgages. Loan departments tend to use expert systems for smaller amount mortgage requests because of the growing cost of labor, which makes the handling and acceptance of relatively smaller loans less profitable.

Full Text

Definition of an Expert System

An expert system has a unique structure, different from traditional computer programs. It is divided into two parts: One fixed and independent of the expert system—the inference (reasoning) engine, and one variable—the knowledge base. To run an expert system, the engine uses the knowledge base in the same way that a human reasons. In the 1980s, a third component was added to most expert systems: A dialog interface to communicate with users. This ability to conduct a conversation with users was later called "conversational. " In expert system technology, the knowledge base is expressed with natural language rules, such as "if-then" statements. For example: "If it is living then it is mortal. " This dialog interface has the advantage of speaking in everyday language, which is very rare in computer science (a classic computer program must be written in a specific programming language in order for the computer to understand and carry out instructions) .

Robots Are a Type of Expert System.

Expert systems have decision-making abilities, just like their human counterparts.

Knowledge-based Systems

Knowledge based systems are artificial intelligent tools working in a narrow domain to provide intelligent decisions with justification. Knowledge is acquired and represented using various knowledge representation techniques, rules, frames and scripts. The basic advantages offered by such a system are documentation of knowledge, intelligent decision support, self learning, reasoning and explanation. Knowledge-based systems are systems based on the methods and techniques of artificial Intelligence. Their core components are

Knowledge base
Acquisition mechanisms
Inference mechanisms (reasoning ability)

Knowledge base systems (KBS) go beyond the decision support philosophy to incorporate expert system technology into the decision-making framework. Expert systems (ES) have been the tools and techniques perfected by artificial intelligence (AI) researchers to deduce decision influences based on the codification of knowledge and applying rules, such as if-then statements.

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