An <a target="_blank" href="https://www.almabetter.com/bytes/tutorials/artificial-intelligence/expert-system-in-ai">Expert System in AI</a> is a computer system designed to emulate and mimic the decision-making abilities of a human expert in a specific domain. It utilizes a knowledge base consisting of facts and rules, along with an inference engine that applies logical reasoning to draw conclusions or make recommendations based on input data.
Key components of an Expert System include:
<ol>
<li>Knowledge Base: Contains domain-specific knowledge represented as rules and facts. Rules are typically in the form of "IF-THEN" statements.
</li>
<li>Inference Engine: Responsible for reasoning and deriving new information from the knowledge base using logical deduction or heuristic methods.
</li>
<li>User Interface: Facilitates interaction with users to gather input, provide explanations, and present results.
</li>
<li>Explanation Module: Provides transparency by explaining how conclusions are reached or recommendations are made.
</li>
</ol>
Expert Systems are used in various fields such as medicine (diagnosis and treatment planning), finance (investment advice), and engineering (troubleshooting complex systems). They excel in domains where expertise is well-defined and can be codified into explicit rules and knowledge.

An [Expert System in AI](https://www.almabetter.com/bytes/tutorials/artificial-intelligence/expert-system-in-ai) is a computer system designed to emulate and mimic the decision-making abilities of a human expert in a specific domain. It utilizes a knowledge base consisting of facts and rules, along with an inference engine that applies logical reasoning to draw conclusions or make recommendations based on input data.

Key components of an Expert System include:

1. **Knowledge Base**: Contains domain-specific knowledge represented as rules and facts. Rules are typically in the form of "IF-THEN" statements.
    
2. **Inference Engine**: Responsible for reasoning and deriving new information from the knowledge base using logical deduction or heuristic methods.
    
3. **User Interface**: Facilitates interaction with users to gather input, provide explanations, and present results.
    
4. **Explanation Module**: Provides transparency by explaining how conclusions are reached or recommendations are made.
    

Expert Systems are used in various fields such as medicine (diagnosis and treatment planning), finance (investment advice), and engineering (troubleshooting complex systems). They excel in domains where expertise is well-defined and can be codified into explicit rules and knowledge.