1. Chapter 13 Artificial Intelligence

2. Artificial Intelligence – Figure 13.1 The Turing Test

3. Artificial Intelligence – A Division of Labor – Figure 13.2 Human and Computer Capabilities

4. Artificial Intelligence – Knowledge Representation – Figure 13.3 – A Semantic Net Representation

5. Artificial Intelligence – Recognition Tasks – Figure 13.4 A Neuron

6. Artificial Intelligence – Recognition Tasks – Figure 13.5 One Neuron with Three Inputs

7. Artificial Intelligence – Recognition Tasks – Figure 13.6 A Neural Network for Comparing Two Characters

8. Artificial Intelligence – Recognition Tasks – Figure 13.7 The Truth Table for XOR

9. Artificial Intelligence – Recognition Tasks - Figure 13.8 An Attempt at an XOR Perception

10. Artificial Intelligence – Recognition Tasks – Figure 13.9 Neural Net for XOR

11. Recognition Tasks – The Optical Character System Used By Banks Requires A Special Set of Characters. These Characters Allow for Exact Pattern Matching

12. Artificial Intelligence – Recognition Tasks – Training Data – Machine Recognition of Handwritten Characters

13. Artificial Intelligence – Recognition Tasks – Practice Problem –If Input Line 1 is Stimulated in the Above Neural Network (and Line 2 is Not Stimulated), Will the Output Line fire?

14. Reasoning Tasks – Intelligent Searching – Figure 13.10 Decision Tree for Sequential Search

15. Reasoning Tasks – Intelligent Searching – Figure 13.11 – Decision Tree for Binary Search

16. Reasoning Tasks – Intelligent Searching – Figure 13.12 A Decision Tree with Exponential Growth

17. Conclusion – Exercises – Use An Englishlike Formal Language to Represent the Knowledge Explicitly Contained in the Above Semantic Net

18. Conclusion – Exercises – In the Above Neural Network, Which Event or Events Will Cause Node N3 To Fire?

19. Conclusion – Exercises – Challenge Work – Figure 13.13 The AND Truth Table

20. Conclusion – Challenge Works – Figure 13.14 A Skeleton for the AND Perceptron

21. Conclusion – Challenge Work – Figure 13.15 A General Perceptron for a Training Algorithm

22. Conclusion – Challenge Work – Figure 13.16 Initial Configuration of Perceptron to be Trained

23. Conclusion – Challenge Work – Figure 13.17 Configuration of the Perceptron After One Adjustment