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COMPUTERS-ARTIFICIAL INTELLIGENCE-EXPERT SYSTEMS

An expert system is a computer program that uses artificial intelligence (AI) to mimic the judgment and behavior of a human expert in a specific field. Expert systems are intended to supplement, not replace, human experts. They are often used to solve complex issues and provide decision-making capabilities.

Expert systems typically have five main components:

Knowledge base

A structured repository of domain-specific knowledge, facts, rules, and heuristics that represents the expertise of human specialists

Inference engine

Uses logical rules, or algorithms, to apply the knowledge from the knowledge base to answer queries or solve problems

User interface

Allows users to interact with the knowledge base, which is usually a software platform

Explanation module

Provides transparent reasoning and justification for the system's recommendations or outputs

Acquisition component

The methodical process through which AI systems assimilate and integrate information to improve their problem-solving capabilities and understanding

Expert systems are usually focused on a single field or business sector, centralizing knowledge in that area for companies to use.

Typical tasks for expert systems include classification, diagnosis, monitoring, design