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Expert Systems

Expert Systems. Learning Objectives:. By the end of this topic you should be able to: explain what is meant by an expert system describe the components of an expert system describe the applications of an expert system. Expert Systems. In everyday life:. Expert Systems.

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Expert Systems

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  1. Expert Systems

  2. Learning Objectives: By the end of this topic you should be able to: • explain what is meant by an expert system • describe the components of an expert system • describe the applications of an expert system

  3. Expert Systems In everyday life:

  4. Expert Systems In everyday life: • humans interpret information to gain knowledge

  5. Expert Systems In everyday life: • humans interpret information to gain knowledge • this knowledge is used as the basis for making decisions

  6. Expert Systems In everyday life: • humans interpret information to gain knowledge • this knowledge is used as the basis for making decisions An expert system is:

  7. Expert Systems In everyday life: • humans interpret information to gain knowledge • this knowledge is used as the basis for making decisions An expert system is: • a computer program, used to help with a decision making process

  8. Expert Systems In everyday life: • humans interpret information to gain knowledge • this knowledge is used as the basis for making decisions An expert system is: • a computer program, used to help with a decision making process • aka rules-based system, knowledge system

  9. An Expert System is:

  10. An Expert System: • is a computer program • is made up of a set of rules • analyses information about a specific type of problem. • trys to solve a problem in the same way as a human expert • has a narrow range of expertise • gives answers to questions • asks questions based on previous responses • can show how it reached conclusions • can learn from experience (heuristic) • is based on probabilities, not certainties • based on research into Artificial Intelligence (AI)

  11. Expert System - Definition • has three components:

  12. Expert System - 3 components • knowledge base • set of rules • consists of If...Then… rules • e.g. IF it is raining THEN I need to take an umbrella with me

  13. Expert System - 3 components • knowledge base • set of rules • consists of If...Then… rules • e.g. IF it is raining THEN I need to take an umbrella with me • inference engine • evaluates data against the knowledge base • to provide a conclusion

  14. Expert System - 3 components • knowledge base • set of rules • consists of If...Then… rules • e.g. IF it is raining THEN I need to take an umbrella with me • inference engine • evaluates data against the knowledge base • to provide a conclusion • user interface • displays questions to be completed by the operator • displays conclusions as output

  15. Examples of Expert Systems

  16. Examples of Expert Systems • weather forecasting

  17. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars

  18. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars • medical diagnosis • diagnose blood infections, identify tumours

  19. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars • medical diagnosis • diagnose blood infections, identify tumours • facial recognition

  20. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars • medical diagnosis • diagnose blood infections, identify tumours • facial recognition • careers advice

  21. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars • medical diagnosis • diagnose blood infections, identify tumours • facial recognition • careers advice • credit scoring • identifying whether or not an individual should be granted credit

  22. Examples of Expert Systems • weather forecasting • fault diagnosis • electrical goods, cars • medical diagnosis • diagnose blood infections, identify tumours • facial recognition • careers advice • credit scoring • identifying whether or not an individual should be granted credit • financial planning • what if we …..?”

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