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. 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 …..?”