Symbolic AI and Expert Systems

Lesson goals

• Facts and rules as knowledge
• Inference engines and decisions
• Successes and maintenance limits

Core idea

How researchers represented knowledge through explicit symbols and rules.

1. Facts and rules as knowledge: understand it in context, identify inputs and outputs, and define how the result will be verified.

2. Inference engines and decisions: understand it in context, identify inputs and outputs, and define how the result will be verified.

3. Successes and maintenance limits: understand it in context, identify inputs and outputs, and define how the result will be verified.

Practical example

Consider a real application of “Symbolic AI and Expert Systems.” Start small, identify available data, and compare the system with a clear baseline before expanding it.

Check your understanding

1. Explain “Symbolic AI and Expert Systems” in your own words.
2. Give one appropriate and one misleading application.
3. What risk or limitation should be monitored?