Chapter 13

Chapter 13
Artificial Intelligence
Artificial Intelligence –
Figure 13.1 The
Turing Test
Artificial Intelligence – A Division of Labor – Figure 13.2
Human and Computer Capabilities
Artificial Intelligence – Knowledge Representation –
Figure 13.3 – A Semantic Net Representation
Artificial Intelligence – Recognition Tasks – Figure 13.4
A Neuron
Artificial Intelligence – Recognition Tasks – Figure
13.5 One Neuron with Three Inputs
Artificial Intelligence – Recognition Tasks – Figure 13.6
A Neural Network for Comparing Two Characters
Artificial Intelligence – Recognition Tasks – Figure 13.7
The Truth Table for XOR
Artificial Intelligence – Recognition Tasks - Figure 13.8
An Attempt at an XOR Perception
Artificial Intelligence – Recognition Tasks – Figure 13.9
Neural Net for XOR
Recognition Tasks – The Optical Character System Used
By Banks Requires A Special Set of Characters. These
Characters Allow for Exact Pattern Matching
Artificial Intelligence – Recognition Tasks – Training Data –
Machine Recognition of Handwritten Characters
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?
Reasoning Tasks –
Intelligent Searching –
Figure 13.10 Decision Tree
for Sequential Search
Reasoning Tasks – Intelligent Searching – Figure 13.11 –
Decision Tree for Binary Search
Reasoning Tasks – Intelligent Searching – Figure 13.12 A
Decision Tree with Exponential Growth
Conclusion – Exercises –
Use An Englishlike
Formal Language to
Represent the Knowledge
Explicitly Contained in
the Above Semantic Net
Conclusion – Exercises – In the Above Neural Network,
Which Event or Events Will Cause Node N3 To Fire?
Conclusion – Exercises – Challenge Work – Figure 13.13
The AND Truth Table
Conclusion – Challenge Works – Figure 13.14 A Skeleton
for the AND Perceptron
Conclusion –
Challenge Work
– Figure 13.15 A
General
Perceptron for a
Training
Algorithm
Conclusion – Challenge Work – Figure 13.16 Initial
Configuration of Perceptron to be Trained
Conclusion – Challenge Work – Figure 13.17 Configuration of
the Perceptron After One Adjustment