Expert System in AI
What is an Expert System?
An expert system is an AI program that emulates the decision-making ability of a human expert in a specific domain, using a knowledge base and inference rules.
Components of an Expert System
- Knowledge Base: Stores domain-specific facts and rules.
- Inference Engine: Applies logical rules to the knowledge base to derive conclusions.
- User Interface: Allows users to interact with the system.
- Explanation Facility: Explains how a conclusion was reached.
How Expert Systems Work
Expert systems typically use forward chaining (starting from known facts to reach a conclusion) or backward chaining (starting from a goal and working backward to verify it).
Applications
- Medical diagnosis systems (e.g. MYCIN).
- Financial planning and risk assessment.
- Equipment fault diagnosis.
- Legal advisory systems.
Key Takeaway: Mastering this topic is a key step toward becoming a well-rounded AI professional, capable of building real-world, intelligent systems.
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